Standard error estimation using the EM algorithm for the joint modeling of survival and longitudinal data

Joint modeling of survival and longitudinal data has been studied extensively in the recent literature. The likelihood approach is one of the most popular estimation methods employed within the joint modeling framework. Typically, the parameters are estimated using maximum likelihood, with computati...

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Veröffentlicht in:	Biostatistics (Oxford, England) England), 2014-10, Vol.15 (4), p.731-744
Hauptverfasser:	Xu, Cong, Baines, Paul D, Wang, Jane-Ling
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biostatistics Clinical trials Data Interpretation, Statistical HIV HIV Infections - drug therapy Human immunodeficiency virus Humans Models, Statistical Randomized Controlled Trials as Topic - statistics & numerical data Survival Analysis Time Factors
Online-Zugang:	Volltext
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