Mixed effects models for recurrent events data with partially observed time-varying covariates: Ecological momentary assessment of smoking.

ABSTRACT: Cigarette smoking is a prototypical example of a recurrent event. The pattern of recurrent smoking events may depend on time-varying covariates including mood and environmental variables. Fixed effects and frailty models for recurrent events data assume that smokers have a common association with time-varying covariates. We develop a mixed effects version of a recurrent events model that may be used to describe variation among smokers in how they respond to those covariates, potentially leading to the development of individual-based smoking cessation therapies. Our method extends the modified EM algorithm of Steele (1996) for generalized mixed models to recurrent events data with partially observed time-varying covariates. It is offered as an alternative to the method of Rizopoulos, Verbek

SUBMITTER: Rathbun SL 

PROVIDER: S-EPMC4808622 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature