Markov Chain Monte Carlo Methods for Inference in Frailty Models with Doubly-censored Data

Autor:	Geoffrey Jones
Rok vydání:	2021
Předmět:	Multivariate survival analysis symbols.namesake Biometrics Expectation–maximization algorithm symbols Inference Markov chain Monte Carlo Data mining Imputation (statistics) computer.software_genre Algorithm computer Mathematics
Zdroj:	Journal of Data Science. 2:33-47
ISSN:	1683-8602 1680-743X
Popis:	Frailty models have become popular in survival analysis for dealing with situations where groups of observations are correlated. If the data comprise only exact or right-censored failure times, inference can be done by either integrating out the frailties directly or by using the EM algorithm. If there is both left- and right-censoring this is no longer the case. However the MCMC method of Clayton (1991, Biometrics 47, 467-485) can be easily extended by imputation of the left-censored times. Several schemes for doing this are suggested and compared. Application of the methods is illustrated using data on the joint failures of patients with fibrodysplasia ossificans progressiva.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::aeb08438213aac5b01c8368518d28423 https://doi.org/10.6339/jds.2004.02(1).137 Zobrazit plný text záznamu