%0 Journal Article
%T Frailty modelling for multitype recurrent events in clinical trials
%A Justin A Ezekowitz
%A Paul M Brown
%J Statistical Modelling
%@ 1477-0342
%D 2019
%R 10.1177/1471082X17746538
%X Recurrent event outcomes are ubiquitous among clinical trial data which encourages a conventional approach to analysis. Yet a common feature of these data has received less attention, that is, survival times often comprise multiple types of events that may imply a disparity in cost and disease severity. Typically, we neglect this feature of the data by combining event-types or analyzing each type separately, thus ignoring any interdependence among them. This practice may reflect a dearth of readily available methods and software that more appropriately acknowledge the true data structure. We provide a review of the literature on multitype recurrent events and frailty modelling which reflects a renewed interest in the topic over the past decade and the emergence of software for estimation. Thus, a review of available methods seems timely, if not overdue
%K Frailty
%K Mixed modelling
%K multivariate
%K random effects
%K recurrent events
%U https://journals.sagepub.com/doi/full/10.1177/1471082X17746538