Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros : = A note on a Bayesian procedure for meta-analysis of rare data

The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each st...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Negrín, Miguel A. [verfasserIn] Martel, María [verfasserIn] Vázquez-Polo, Francisco José [verfasserIn]

Format:	E-Artikel
Sprache:	Spanisch

Erschienen:	Diciembro 2015

Übergeordnetes Werk:	Enthalten in: Revista de métodos cuantitativos para la economía y la empresa - Sevilla : [Verlag nicht ermittelbar], 2006, 20(2015) vom: Dez., Seite 64-76
Übergeordnetes Werk:	volume:20 ; year:2015 ; month:12 ; pages:64-76

Links:	Volltext Volltext

Katalog-ID:	849545072

Internformat


LEADER	01000caa a2200265 4500
001	849545072
003	DE-627
005	20191024140226.0
007	cr uuu---uuuuu
008	160308s2015 xx \|\|\|\|\|o 00\| \|\|spa c
024	7		\|a 10419/174229 \|2 hdl
035			\|a (DE-627)849545072
035			\|a (DE-576)9849545070
035			\|a (DE-599)GBV849545072
040			\|a DE-627 \|b ger \|c DE-627 \|e rda
041			\|a spa
084			\|a C11 \|a C49 \|2 jelc
100	1		\|a Negrín, Miguel A. \|e verfasserin \|4 aut
245	1	4	\|a Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros \|b = A note on a Bayesian procedure for meta-analysis of rare data \|c Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria)
246	3	1	\|a A note on a Bayesian procedure for meta-analysis of rare data
264		1	\|c Diciembro 2015
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments.
546			\|a Zusammenfassung in englischer Sprache
700	1		\|a Martel, María \|e verfasserin \|4 aut
700	1		\|a Vázquez-Polo, Francisco José \|e verfasserin \|0 (DE-588)17172786X \|0 (DE-627)061965162 \|0 (DE-576)132499738 \|4 aut
773	0	8	\|i Enthalten in \|t Revista de métodos cuantitativos para la economía y la empresa \|d Sevilla : [Verlag nicht ermittelbar], 2006 \|g 20(2015) vom: Dez., Seite 64-76 \|h Online-Ressource \|w (DE-627)641392478 \|w (DE-600)2584041-1 \|w (DE-576)334670977 \|x 1886-516X \|7 nnns
773	1	8	\|g volume:20 \|g year:2015 \|g month:12 \|g pages:64-76
856	4	0	\|u http://hdl.handle.net/10419/174229 \|x Resolving-System \|z kostenfrei \|3 Volltext
856	4	0	\|u http://www.upo.es/RevMetCuant/art.php?id=109 \|x Verlag \|3 Volltext
912			\|a GBV_USEFLAG_U
912			\|a GBV_ILN_26
912			\|a ISIL_DE-206
912			\|a SYSFLAG_1
912			\|a GBV_KXP
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
912			\|a GBV_ILN_2403
912			\|a GBV_ILN_2403
912			\|a ISIL_DE-LFER
935			\|i zbwolc20160319
951			\|a AR
952			\|d 20 \|j 2015 \|c 12 \|h 64-76
980			\|2 26 \|1 01 \|x 0206 \|b 1605017035 \|y x1k \|z 08-03-16
980			\|2 2403 \|1 01 \|x DE-LFER \|b 3495542124 \|c 00 \|f --%%-- \|d --%%-- \|e n \|j --%%-- \|y l01 \|z 22-07-19
981			\|2 2403 \|1 01 \|x DE-LFER \|r http://hdl.handle.net/10419/174229
982			\|2 26 \|1 00 \|x DE-206 \|8 56 \|a Bayesian analysis
982			\|2 26 \|1 00 \|x DE-206 \|8 56 \|a Farlie-Gumbel-Morgenstern link
982			\|2 26 \|1 00 \|x DE-206 \|8 56 \|a meta-analysis

Indexfelder

author_variant	m a n ma man m m mm f j v p fjv fjvp
matchkey_str	article:1886516X:2015----::nntsbenrcdmetbysaoaaeaniicnaobnro
hierarchy_sort_str	Diciembro 2015
publishDate	2015
allfields	10419/174229 hdl (DE-627)849545072 (DE-576)9849545070 (DE-599)GBV849545072 DE-627 ger DE-627 rda spa C11 C49 jelc Negrín, Miguel A. verfasserin aut Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria) A note on a Bayesian procedure for meta-analysis of rare data Diciembro 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments. Zusammenfassung in englischer Sprache Martel, María verfasserin aut Vázquez-Polo, Francisco José verfasserin (DE-588)17172786X (DE-627)061965162 (DE-576)132499738 aut Enthalten in Revista de métodos cuantitativos para la economía y la empresa Sevilla : [Verlag nicht ermittelbar], 2006 20(2015) vom: Dez., Seite 64-76 Online-Ressource (DE-627)641392478 (DE-600)2584041-1 (DE-576)334670977 1886-516X nnns volume:20 year:2015 month:12 pages:64-76 http://hdl.handle.net/10419/174229 Resolving-System kostenfrei Volltext http://www.upo.es/RevMetCuant/art.php?id=109 Verlag Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20160319 AR 20 2015 12 64-76 26 01 0206 1605017035 x1k 08-03-16 2403 01 DE-LFER 3495542124 00 --%%-- --%%-- n --%%-- l01 22-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/174229 26 00 DE-206 56 Bayesian analysis 26 00 DE-206 56 Farlie-Gumbel-Morgenstern link 26 00 DE-206 56 meta-analysis
spelling	10419/174229 hdl (DE-627)849545072 (DE-576)9849545070 (DE-599)GBV849545072 DE-627 ger DE-627 rda spa C11 C49 jelc Negrín, Miguel A. verfasserin aut Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria) A note on a Bayesian procedure for meta-analysis of rare data Diciembro 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments. Zusammenfassung in englischer Sprache Martel, María verfasserin aut Vázquez-Polo, Francisco José verfasserin (DE-588)17172786X (DE-627)061965162 (DE-576)132499738 aut Enthalten in Revista de métodos cuantitativos para la economía y la empresa Sevilla : [Verlag nicht ermittelbar], 2006 20(2015) vom: Dez., Seite 64-76 Online-Ressource (DE-627)641392478 (DE-600)2584041-1 (DE-576)334670977 1886-516X nnns volume:20 year:2015 month:12 pages:64-76 http://hdl.handle.net/10419/174229 Resolving-System kostenfrei Volltext http://www.upo.es/RevMetCuant/art.php?id=109 Verlag Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20160319 AR 20 2015 12 64-76 26 01 0206 1605017035 x1k 08-03-16 2403 01 DE-LFER 3495542124 00 --%%-- --%%-- n --%%-- l01 22-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/174229 26 00 DE-206 56 Bayesian analysis 26 00 DE-206 56 Farlie-Gumbel-Morgenstern link 26 00 DE-206 56 meta-analysis
allfields_unstemmed	10419/174229 hdl (DE-627)849545072 (DE-576)9849545070 (DE-599)GBV849545072 DE-627 ger DE-627 rda spa C11 C49 jelc Negrín, Miguel A. verfasserin aut Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria) A note on a Bayesian procedure for meta-analysis of rare data Diciembro 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments. Zusammenfassung in englischer Sprache Martel, María verfasserin aut Vázquez-Polo, Francisco José verfasserin (DE-588)17172786X (DE-627)061965162 (DE-576)132499738 aut Enthalten in Revista de métodos cuantitativos para la economía y la empresa Sevilla : [Verlag nicht ermittelbar], 2006 20(2015) vom: Dez., Seite 64-76 Online-Ressource (DE-627)641392478 (DE-600)2584041-1 (DE-576)334670977 1886-516X nnns volume:20 year:2015 month:12 pages:64-76 http://hdl.handle.net/10419/174229 Resolving-System kostenfrei Volltext http://www.upo.es/RevMetCuant/art.php?id=109 Verlag Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20160319 AR 20 2015 12 64-76 26 01 0206 1605017035 x1k 08-03-16 2403 01 DE-LFER 3495542124 00 --%%-- --%%-- n --%%-- l01 22-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/174229 26 00 DE-206 56 Bayesian analysis 26 00 DE-206 56 Farlie-Gumbel-Morgenstern link 26 00 DE-206 56 meta-analysis
allfieldsGer	10419/174229 hdl (DE-627)849545072 (DE-576)9849545070 (DE-599)GBV849545072 DE-627 ger DE-627 rda spa C11 C49 jelc Negrín, Miguel A. verfasserin aut Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria) A note on a Bayesian procedure for meta-analysis of rare data Diciembro 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments. Zusammenfassung in englischer Sprache Martel, María verfasserin aut Vázquez-Polo, Francisco José verfasserin (DE-588)17172786X (DE-627)061965162 (DE-576)132499738 aut Enthalten in Revista de métodos cuantitativos para la economía y la empresa Sevilla : [Verlag nicht ermittelbar], 2006 20(2015) vom: Dez., Seite 64-76 Online-Ressource (DE-627)641392478 (DE-600)2584041-1 (DE-576)334670977 1886-516X nnns volume:20 year:2015 month:12 pages:64-76 http://hdl.handle.net/10419/174229 Resolving-System kostenfrei Volltext http://www.upo.es/RevMetCuant/art.php?id=109 Verlag Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20160319 AR 20 2015 12 64-76 26 01 0206 1605017035 x1k 08-03-16 2403 01 DE-LFER 3495542124 00 --%%-- --%%-- n --%%-- l01 22-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/174229 26 00 DE-206 56 Bayesian analysis 26 00 DE-206 56 Farlie-Gumbel-Morgenstern link 26 00 DE-206 56 meta-analysis
allfieldsSound	10419/174229 hdl (DE-627)849545072 (DE-576)9849545070 (DE-599)GBV849545072 DE-627 ger DE-627 rda spa C11 C49 jelc Negrín, Miguel A. verfasserin aut Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria) A note on a Bayesian procedure for meta-analysis of rare data Diciembro 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments. Zusammenfassung in englischer Sprache Martel, María verfasserin aut Vázquez-Polo, Francisco José verfasserin (DE-588)17172786X (DE-627)061965162 (DE-576)132499738 aut Enthalten in Revista de métodos cuantitativos para la economía y la empresa Sevilla : [Verlag nicht ermittelbar], 2006 20(2015) vom: Dez., Seite 64-76 Online-Ressource (DE-627)641392478 (DE-600)2584041-1 (DE-576)334670977 1886-516X nnns volume:20 year:2015 month:12 pages:64-76 http://hdl.handle.net/10419/174229 Resolving-System kostenfrei Volltext http://www.upo.es/RevMetCuant/art.php?id=109 Verlag Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20160319 AR 20 2015 12 64-76 26 01 0206 1605017035 x1k 08-03-16 2403 01 DE-LFER 3495542124 00 --%%-- --%%-- n --%%-- l01 22-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/174229 26 00 DE-206 56 Bayesian analysis 26 00 DE-206 56 Farlie-Gumbel-Morgenstern link 26 00 DE-206 56 meta-analysis
language	Spanish
source	Enthalten in Revista de métodos cuantitativos para la economía y la empresa 20(2015) vom: Dez., Seite 64-76 volume:20 year:2015 month:12 pages:64-76
sourceStr	Enthalten in Revista de métodos cuantitativos para la economía y la empresa 20(2015) vom: Dez., Seite 64-76 volume:20 year:2015 month:12 pages:64-76
format_phy_str_mv	Article
building	26:1 2403:0
institution	findex.gbv.de
selectbib_iln_str_mv	26@1k 2403@01
sw_local_iln_str_mv	26:Bayesian analysis DE-206:Bayesian analysis 26:Farlie-Gumbel-Morgenstern link DE-206:Farlie-Gumbel-Morgenstern link 26:meta-analysis DE-206:meta-analysis
isfreeaccess_bool	true
container_title	Revista de métodos cuantitativos para la economía y la empresa
authorswithroles_txt_mv	Negrín, Miguel A. @@aut@@ Martel, María @@aut@@ Vázquez-Polo, Francisco José @@aut@@
publishDateDaySort_date	2015-12-01T00:00:00Z
hierarchy_top_id	641392478
id	849545072
language_de	spanisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">849545072</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20191024140226.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">160308s2015 xx \|\|\|\|\|o 00\| \|\|spa c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10419/174229</subfield><subfield code="2">hdl</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)849545072</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-576)9849545070</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV849545072</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">spa</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">C11</subfield><subfield code="a">C49</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Negrín, Miguel A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros</subfield><subfield code="b"> = A note on a Bayesian procedure for meta-analysis of rare data</subfield><subfield code="c">Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria)</subfield></datafield><datafield tag="246" ind1="3" ind2="1"><subfield code="a">A note on a Bayesian procedure for meta-analysis of rare data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">Diciembro 2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">Zusammenfassung in englischer Sprache</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Martel, María</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vázquez-Polo, Francisco José</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)17172786X</subfield><subfield code="0">(DE-627)061965162</subfield><subfield code="0">(DE-576)132499738</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Revista de métodos cuantitativos para la economía y la empresa</subfield><subfield code="d">Sevilla : [Verlag nicht ermittelbar], 2006</subfield><subfield code="g">20(2015) vom: Dez., Seite 64-76</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)641392478</subfield><subfield code="w">(DE-600)2584041-1</subfield><subfield code="w">(DE-576)334670977</subfield><subfield code="x">1886-516X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:20</subfield><subfield code="g">year:2015</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:64-76</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://hdl.handle.net/10419/174229</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.upo.es/RevMetCuant/art.php?id=109</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_KXP</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="i">zbwolc20160319</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">20</subfield><subfield code="j">2015</subfield><subfield code="c">12</subfield><subfield code="h">64-76</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">1605017035</subfield><subfield code="y">x1k</subfield><subfield code="z">08-03-16</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="b">3495542124</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">22-07-19</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">http://hdl.handle.net/10419/174229</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="8">56</subfield><subfield code="a">Bayesian analysis</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="8">56</subfield><subfield code="a">Farlie-Gumbel-Morgenstern link</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="8">56</subfield><subfield code="a">meta-analysis</subfield></datafield></record></collection>
standort_str_mv	--%%--
standort_iln_str_mv	2403:--%%-- DE-LFER:--%%--
author	Negrín, Miguel A.
spellingShingle	Negrín, Miguel A. jelc C11 26 Bayesian analysis 26 Farlie-Gumbel-Morgenstern link 26 meta-analysis Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data
authorStr	Negrín, Miguel A.
ppnlink_with_tag_str_mv	@@773@@(DE-627)641392478
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut
typewithnormlink_str_mv	DifferentiatedPerson@(DE-588)17172786X Person@(DE-588)17172786X
collection	KXP GVK SWB
remote_str	true
last_changed_iln_str_mv	26@08-03-16 2403@22-07-19
illustrated	Not Illustrated
issn	1886-516X
topic_title	C11 C49 jelc 26 00 DE-206 56 Bayesian analysis 26 00 DE-206 56 Farlie-Gumbel-Morgenstern link 26 00 DE-206 56 meta-analysis Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria)
topic	jelc C11 26 Bayesian analysis 26 Farlie-Gumbel-Morgenstern link 26 meta-analysis
topic_unstemmed	jelc C11 26 Bayesian analysis 26 Farlie-Gumbel-Morgenstern link 26 meta-analysis
topic_browse	jelc C11 26 Bayesian analysis 26 Farlie-Gumbel-Morgenstern link 26 meta-analysis
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
standort_txtP_mv	--%%--
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Revista de métodos cuantitativos para la economía y la empresa
normlinkwithtype_str_mv	(DE-588)17172786X@DifferentiatedPerson (DE-588)17172786X@Person
hierarchy_parent_id	641392478
signature	--%%--
signature_str_mv	--%%--
hierarchy_top_title	Revista de métodos cuantitativos para la economía y la empresa
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)641392478 (DE-600)2584041-1 (DE-576)334670977
normlinkwithrole_str_mv	(DE-588)17172786X@@aut@@
title	Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data
ctrlnum	(DE-627)849545072 (DE-576)9849545070 (DE-599)GBV849545072
title_full	Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria)
author_sort	Negrín, Miguel A.
journal	Revista de métodos cuantitativos para la economía y la empresa
journalStr	Revista de métodos cuantitativos para la economía y la empresa
callnumber-first-code	-
lang_code	spa
isOA_bool	true
recordtype	marc
publishDateSort	2015
contenttype_str_mv	txt
container_start_page	64
author_browse	Negrín, Miguel A. Martel, María Vázquez-Polo, Francisco José
selectkey	26:x 2403:l
container_volume	20
class	C11 C49 jelc
format_se	Elektronische Aufsätze
author-letter	Negrín, Miguel A.
title_sub	= A note on a Bayesian procedure for meta-analysis of rare data
normlink	17172786X 061965162 132499738
normlink_prefix_str_mv	(DE-588)17172786X (DE-627)061965162 (DE-576)132499738
author2-role	verfasserin
title_sort	nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = a note on a bayesian procedure for meta-analysis of rare data
title_auth	Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros = A note on a Bayesian procedure for meta-analysis of rare data
abstract	The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments.
abstractGer	The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments.
abstract_unstemmed	The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments.
collection_details	GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 ISIL_DE-LFER
title_short	Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros
url	http://hdl.handle.net/10419/174229 http://www.upo.es/RevMetCuant/art.php?id=109
ausleihindikator_str_mv	26 2403:n
rolewithnormlink_str_mv	@@aut@@(DE-588)17172786X
remote_bool	true
author2	Martel, María Vázquez-Polo, Francisco José
author2Str	Martel, María Vázquez-Polo, Francisco José
ppnlink	641392478
GND_str_mv	Vázquez-Polo, F. J. Vázquez Polo, Francisco José Vázquez-Polo, Francisco-José Vázquez-Polo, Francisco J. Polo, Francisco José Vázquez Vázquez-Polo, Francisco José
GND_txt_mv	Vázquez-Polo, F. J. Vázquez Polo, Francisco José Vázquez-Polo, Francisco-José Vázquez-Polo, Francisco J. Polo, Francisco José Vázquez Vázquez-Polo, Francisco José
GND_txtF_mv	Vázquez-Polo, F. J. Vázquez Polo, Francisco José Vázquez-Polo, Francisco-José Vázquez-Polo, Francisco J. Polo, Francisco José Vázquez Vázquez-Polo, Francisco José
title_alt	A note on a Bayesian procedure for meta-analysis of rare data
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
callnumber-a	--%%--
up_date	2024-07-04T18:00:31.471Z
_version_	1803672387816783872
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">849545072</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20191024140226.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">160308s2015 xx \|\|\|\|\|o 00\| \|\|spa c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10419/174229</subfield><subfield code="2">hdl</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)849545072</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-576)9849545070</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV849545072</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">spa</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">C11</subfield><subfield code="a">C49</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Negrín, Miguel A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros</subfield><subfield code="b"> = A note on a Bayesian procedure for meta-analysis of rare data</subfield><subfield code="c">Miguel A. Negrín; María Martel; Francisco J. Vázquez-Polo (Departamento de Métodos Cuantitativos e Instituto Universitario TiDES, Universidad de Las Palmas de Gran Canaria)</subfield></datafield><datafield tag="246" ind1="3" ind2="1"><subfield code="a">A note on a Bayesian procedure for meta-analysis of rare data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">Diciembro 2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">Zusammenfassung in englischer Sprache</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Martel, María</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vázquez-Polo, Francisco José</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)17172786X</subfield><subfield code="0">(DE-627)061965162</subfield><subfield code="0">(DE-576)132499738</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Revista de métodos cuantitativos para la economía y la empresa</subfield><subfield code="d">Sevilla : [Verlag nicht ermittelbar], 2006</subfield><subfield code="g">20(2015) vom: Dez., Seite 64-76</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)641392478</subfield><subfield code="w">(DE-600)2584041-1</subfield><subfield code="w">(DE-576)334670977</subfield><subfield code="x">1886-516X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:20</subfield><subfield code="g">year:2015</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:64-76</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://hdl.handle.net/10419/174229</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.upo.es/RevMetCuant/art.php?id=109</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_KXP</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="i">zbwolc20160319</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">20</subfield><subfield code="j">2015</subfield><subfield code="c">12</subfield><subfield code="h">64-76</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">1605017035</subfield><subfield code="y">x1k</subfield><subfield code="z">08-03-16</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="b">3495542124</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">22-07-19</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">http://hdl.handle.net/10419/174229</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="8">56</subfield><subfield code="a">Bayesian analysis</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="8">56</subfield><subfield code="a">Farlie-Gumbel-Morgenstern link</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="8">56</subfield><subfield code="a">meta-analysis</subfield></datafield></record></collection>
score	7.4008236

Nicht das Richtige dabei?

Schreiben Sie uns!

Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros : = A note on a Bayesian procedure for meta-analysis of rare data

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?