A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts
• A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts. • The linear mixed effects submodel for the longidudinal outcome, with the random intercept and/or random slope specifications. • The survival submodel allows up to three differe...
Ausführliche Beschreibung
Autor*in: |
Wang, Wei [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Umfang: |
8 |
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Übergeordnetes Werk: |
Enthalten in: Dynamic measurement of stay-cable force using digital image techniques - Du, Wenkang ELSEVIER, 2019, an international journal devoted to the development, implementation and exchange of computing methodology and software systems in biomedical research and medical practice, Amsterdam |
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Übergeordnetes Werk: |
volume:138 ; year:2017 ; pages:23-30 ; extent:8 |
Links: |
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DOI / URN: |
10.1016/j.cmpb.2016.10.003 |
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10.1016/j.cmpb.2016.10.003 doi GBVA2017006000018.pica (DE-627)ELV035760192 (ELSEVIER)S0169-2607(16)30258-9 DE-627 ger DE-627 rakwb eng 004 610 004 DE-600 610 DE-600 660 VZ 50.21 bkl Wang, Wei verfasserin aut A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts 2017 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts. • The linear mixed effects submodel for the longidudinal outcome, with the random intercept and/or random slope specifications. • The survival submodel allows up to three different competing causes for dropout. • Simulation study shows the unbiased parameter estimates when informative dropout exists. Wang, Wanmei oth Mosley, Thomas H. oth Griswold, Michael E. oth Enthalten in Elsevier Du, Wenkang ELSEVIER Dynamic measurement of stay-cable force using digital image techniques 2019 an international journal devoted to the development, implementation and exchange of computing methodology and software systems in biomedical research and medical practice Amsterdam (DE-627)ELV003255476 volume:138 year:2017 pages:23-30 extent:8 https://doi.org/10.1016/j.cmpb.2016.10.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 50.21 Messtechnik VZ AR 138 2017 23-30 8 045F 004 |
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10.1016/j.cmpb.2016.10.003 doi GBVA2017006000018.pica (DE-627)ELV035760192 (ELSEVIER)S0169-2607(16)30258-9 DE-627 ger DE-627 rakwb eng 004 610 004 DE-600 610 DE-600 660 VZ 50.21 bkl Wang, Wei verfasserin aut A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts 2017 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts. • The linear mixed effects submodel for the longidudinal outcome, with the random intercept and/or random slope specifications. • The survival submodel allows up to three different competing causes for dropout. • Simulation study shows the unbiased parameter estimates when informative dropout exists. Wang, Wanmei oth Mosley, Thomas H. oth Griswold, Michael E. oth Enthalten in Elsevier Du, Wenkang ELSEVIER Dynamic measurement of stay-cable force using digital image techniques 2019 an international journal devoted to the development, implementation and exchange of computing methodology and software systems in biomedical research and medical practice Amsterdam (DE-627)ELV003255476 volume:138 year:2017 pages:23-30 extent:8 https://doi.org/10.1016/j.cmpb.2016.10.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 50.21 Messtechnik VZ AR 138 2017 23-30 8 045F 004 |
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10.1016/j.cmpb.2016.10.003 doi GBVA2017006000018.pica (DE-627)ELV035760192 (ELSEVIER)S0169-2607(16)30258-9 DE-627 ger DE-627 rakwb eng 004 610 004 DE-600 610 DE-600 660 VZ 50.21 bkl Wang, Wei verfasserin aut A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts 2017 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts. • The linear mixed effects submodel for the longidudinal outcome, with the random intercept and/or random slope specifications. • The survival submodel allows up to three different competing causes for dropout. • Simulation study shows the unbiased parameter estimates when informative dropout exists. Wang, Wanmei oth Mosley, Thomas H. oth Griswold, Michael E. oth Enthalten in Elsevier Du, Wenkang ELSEVIER Dynamic measurement of stay-cable force using digital image techniques 2019 an international journal devoted to the development, implementation and exchange of computing methodology and software systems in biomedical research and medical practice Amsterdam (DE-627)ELV003255476 volume:138 year:2017 pages:23-30 extent:8 https://doi.org/10.1016/j.cmpb.2016.10.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 50.21 Messtechnik VZ AR 138 2017 23-30 8 045F 004 |
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a sas macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts |
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A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts |
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• A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts. • The linear mixed effects submodel for the longidudinal outcome, with the random intercept and/or random slope specifications. • The survival submodel allows up to three different competing causes for dropout. • Simulation study shows the unbiased parameter estimates when informative dropout exists. |
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• A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts. • The linear mixed effects submodel for the longidudinal outcome, with the random intercept and/or random slope specifications. • The survival submodel allows up to three different competing causes for dropout. • Simulation study shows the unbiased parameter estimates when informative dropout exists. |
abstract_unstemmed |
• A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts. • The linear mixed effects submodel for the longidudinal outcome, with the random intercept and/or random slope specifications. • The survival submodel allows up to three different competing causes for dropout. • Simulation study shows the unbiased parameter estimates when informative dropout exists. |
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A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts |
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