Joint latent class model of survival and longitudinal data: An application to CPCRA study

出版年份 2015 全文链接

标题

作者

关键词

Counting process, Proportional hazards model, Gaussian quadrature, Mixture model, Dependent censoring, Informative dropout, Frailty model, Mixed effects model, Survival analysis

出版物

COMPUTATIONAL STATISTICS & DATA ANALYSIS

Volume 91, Issue -, Pages 40-50

出版商

Elsevier BV

发表日期

2015-06-06

DOI

10.1016/j.csda.2015.05.007

向作者/读者发起求助以获取更多资源

Protocol

在线求助

Reagent

在线求助

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started