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Autoregressive and Cross-lagged Model for Bivariate Non-commensurate Outcomes
Autoregressive and cross-lagged models have been widely used to understand the relationship between bivariate commensurate outcomes in social and behavioral sciences, but not much work has been done in modeling bivariate non-commensurate (e.g. mixed binary and continuous) outcomes simultaneously. We...
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| Опубликовано в: : | Stat Med |
|---|---|
| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5518811/ https://ncbi.nlm.nih.gov/pubmed/28470746 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7325 |
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