title: The analysis of event history data: a review of progress and outstanding problems.
abstract: This paper reviews methods for the analysis of event history data by both parametric (exponential/Poisson) and semi-parametric methods. It identifies a need for software for handling the data structures of complex event histories and shows that, with such software, most Markov and semi-Markov models of event history data may be dealt with in the framework of generalized linear models. Finally, the emergent 'frailty' models for associated risks are discussed together with their implications for statistical software.
authors.affiliation: Department of Community Health, Leicester University, U.K.
authors.forename: D
authors.initials: D
authors.lastname: Clayton
mesh_terms: D003627:Data Interpretation, Statistical; D004812:Epidemiologic Methods; D008390:Markov Chains; D008432:Mathematical Computing; D011336:Probability; D012984:Software; D013223:Statistics as Topic