Загрузка...

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...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :Stat Med
Главные авторы: He, Fei, Teixeira-Pinto, Armando, Harezlak, Jaroslaw
Формат: Artigo
Язык:Inglês
Опубликовано: 2017
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
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!