Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life
Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Donaldson, Gary W. [verfasserIn] Nakamura, Yoshio [verfasserIn] Moinpour, Carol [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Quality of life research - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992, 18(2009), 2 vom: 20. Jan., Seite 137-145 |
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| Übergeordnetes Werk: |
volume:18 ; year:2009 ; number:2 ; day:20 ; month:01 ; pages:137-145 |
| Links: |
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| DOI / URN: |
10.1007/s11136-008-9439-x |
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| Katalog-ID: |
SPR016979370 |
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| 100 | 1 | |a Donaldson, Gary W. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life |
| 264 | 1 | |c 2009 | |
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| 520 | |a Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. | ||
| 650 | 4 | |a Causal effect |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Individual differences |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Intervention |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Mediation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Moderation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Relational outcome |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Nakamura, Yoshio |e verfasserin |4 aut | |
| 700 | 1 | |a Moinpour, Carol |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Quality of life research |d Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 |g 18(2009), 2 vom: 20. Jan., Seite 137-145 |w (DE-627)320474399 |w (DE-600)2008960-0 |x 1573-2649 |7 nnns |
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10.1007/s11136-008-9439-x doi (DE-627)SPR016979370 (SPR)s11136-008-9439-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Donaldson, Gary W. verfasserin aut Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. Causal effect (dpeaa)DE-He213 Individual differences (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Mediation (dpeaa)DE-He213 Moderation (dpeaa)DE-He213 Relational outcome (dpeaa)DE-He213 Nakamura, Yoshio verfasserin aut Moinpour, Carol verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 18(2009), 2 vom: 20. Jan., Seite 137-145 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:18 year:2009 number:2 day:20 month:01 pages:137-145 https://dx.doi.org/10.1007/s11136-008-9439-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 18 2009 2 20 01 137-145 |
| spelling |
10.1007/s11136-008-9439-x doi (DE-627)SPR016979370 (SPR)s11136-008-9439-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Donaldson, Gary W. verfasserin aut Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. Causal effect (dpeaa)DE-He213 Individual differences (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Mediation (dpeaa)DE-He213 Moderation (dpeaa)DE-He213 Relational outcome (dpeaa)DE-He213 Nakamura, Yoshio verfasserin aut Moinpour, Carol verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 18(2009), 2 vom: 20. Jan., Seite 137-145 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:18 year:2009 number:2 day:20 month:01 pages:137-145 https://dx.doi.org/10.1007/s11136-008-9439-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 18 2009 2 20 01 137-145 |
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10.1007/s11136-008-9439-x doi (DE-627)SPR016979370 (SPR)s11136-008-9439-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Donaldson, Gary W. verfasserin aut Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. Causal effect (dpeaa)DE-He213 Individual differences (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Mediation (dpeaa)DE-He213 Moderation (dpeaa)DE-He213 Relational outcome (dpeaa)DE-He213 Nakamura, Yoshio verfasserin aut Moinpour, Carol verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 18(2009), 2 vom: 20. Jan., Seite 137-145 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:18 year:2009 number:2 day:20 month:01 pages:137-145 https://dx.doi.org/10.1007/s11136-008-9439-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 18 2009 2 20 01 137-145 |
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10.1007/s11136-008-9439-x doi (DE-627)SPR016979370 (SPR)s11136-008-9439-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Donaldson, Gary W. verfasserin aut Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. Causal effect (dpeaa)DE-He213 Individual differences (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Mediation (dpeaa)DE-He213 Moderation (dpeaa)DE-He213 Relational outcome (dpeaa)DE-He213 Nakamura, Yoshio verfasserin aut Moinpour, Carol verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 18(2009), 2 vom: 20. Jan., Seite 137-145 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:18 year:2009 number:2 day:20 month:01 pages:137-145 https://dx.doi.org/10.1007/s11136-008-9439-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 18 2009 2 20 01 137-145 |
| allfieldsSound |
10.1007/s11136-008-9439-x doi (DE-627)SPR016979370 (SPR)s11136-008-9439-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Donaldson, Gary W. verfasserin aut Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. Causal effect (dpeaa)DE-He213 Individual differences (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Mediation (dpeaa)DE-He213 Moderation (dpeaa)DE-He213 Relational outcome (dpeaa)DE-He213 Nakamura, Yoshio verfasserin aut Moinpour, Carol verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 18(2009), 2 vom: 20. Jan., Seite 137-145 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:18 year:2009 number:2 day:20 month:01 pages:137-145 https://dx.doi.org/10.1007/s11136-008-9439-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 18 2009 2 20 01 137-145 |
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Donaldson, Gary W. @@aut@@ Nakamura, Yoshio @@aut@@ Moinpour, Carol @@aut@@ |
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The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. 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Donaldson, Gary W. |
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Donaldson, Gary W. ddc 100 bkl 44.52 misc Causal effect misc Individual differences misc Intervention misc Mediation misc Moderation misc Relational outcome Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life |
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100 ASE 44.52 bkl Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life Causal effect (dpeaa)DE-He213 Individual differences (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Mediation (dpeaa)DE-He213 Moderation (dpeaa)DE-He213 Relational outcome (dpeaa)DE-He213 |
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Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life |
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Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life |
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Donaldson, Gary W. Nakamura, Yoshio Moinpour, Carol |
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mediators, moderators, and modulators of causal effects in clinical trials––dynamically modified outcomes (dynamo) in health-related quality of life |
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Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life |
| abstract |
Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. |
| abstractGer |
Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. |
| abstract_unstemmed |
Purpose There is more than one effect of a randomized intervention, and more than one response to a treatment. The mean group difference in the pre-specified outcome of a randomized controlled trial (RCT) estimates the average causal effect of treatment across causal mechanisms that may be distinct. To understand the comprehensive impact of an intervention, we propose identifying and separating the direct causal effects of the intervention from mediating, moderating, and modulating (individual differences) influences of uncontrolled variables. Methods Relational outcomes and moderated interventions describe two common mechanisms by which treatment interactions with uncontrolled variables expand or qualify the causal inferences to be drawn from an RCT, signifying treatment impact beyond that captured by conventional mean differences. Relational outcomes are associations between post-randomization measures. The treatment intervention may affect relational outcomes, and individual differences may modulate them. With moderated interventions, the effect of treatment on the outcome of interest depends on personal attributes or pre-randomization uncontrolled variables. Results Awareness and measurement of both types of mechanisms can greatly improve interpretation of the results of a clinical trial. Conclusion The integrated formal system of Dynamically Modified Outcomes (DYNAMO) provides comprehensive analysis of the diverse causal influences and interactions operating in a clinical trial. |
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| title_short |
Mediators, moderators, and modulators of causal effects in clinical trials––Dynamically Modified Outcomes (DYNAMO) in health-related quality of life |
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https://dx.doi.org/10.1007/s11136-008-9439-x |
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Nakamura, Yoshio Moinpour, Carol |
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10.1007/s11136-008-9439-x |
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2024-07-04T01:42:26.331Z |
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| score |
7.401575 |