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
Gespeichert in:
| Autor*in: |
Wang, Wei [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| 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 |
|---|---|
| Übergeordnetes Werk: |
volume:138 ; year:2017 ; pages:23-30 ; extent:8 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.cmpb.2016.10.003 |
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| 520 | |a • 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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• 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. |
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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 for the joint modeling of longitudinal outcomes and multiple competing risk dropouts |
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