On shared gamma‐frailty conditional Markov model for semicompeting risks data

• Published in: Statistics in medicine Vol. 39; no. 23; pp. 3042 - 3058
• Main Authors: Li, Jing, Zhang, Ying, Bakoyannis, Giorgos, Gao, Sujuan
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 15.10.2020
• Subjects: Dementia; EM‐algorithm; frailty; illness‐death model; Markov model; nonparametric; Nonparametric statistics; semicompeting risks; frailty; semicompeting risks; dementia; illness-death model; Markov model; nonparametric; EM-algorithm

Semicompeting risks data are a mixture of competing risks data and progressive state data. This type of data occurs when a nonterminal event is subject to truncation by a well‐defined terminal event, but not vice versa. The shared gamma‐frailty conditional Markov model (GFCMM) has been used to analy...