Joint modeling of survival and longitudinal data: Likelihood approach revisited

Fushing Hsieh, Yi Kuan Tseng, Jane Ling Wang

研究成果: 雜誌貢獻期刊論文同行評審

129 引文 斯高帕斯(Scopus)

摘要

The maximum likelihood approach to jointly model the survival time and its longitudinal covariates has been successful to model both processes in longitudinal studies. Random effects in the longitudinal process are often used to model the survival times through a proportional hazards model, and this invokes an EM algorithm to search for the maximum likelihood estimates (MLEs). Several intriguing issues are examined here, including the robustness of the MLEs against departure from the normal random effects assumption, and difficulties with the profile likelihood approach to provide reliable estimates for the standard error of the MLEs. We provide insights into the robustness property and suggest to overcome the difficulty of reliable estimates for the standard errors by using bootstrap procedures. Numerical studies and data analysis illustrate our points.

原文???core.languages.en_GB???
頁(從 - 到)1037-1043
頁數7
期刊Biometrics
62
發行號4
DOIs
出版狀態已出版 - 12月 2006

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