title: Bayesian analysis of quasi-life tables.
abstract: Quasi-life tables, in which the data arise from many concurrent, independent, discrete-time renewal processes, were defined by Baxter (1994, Biometrika 81:567-577), who outlined some methods for estimation. The processes are not observed individually; only the total numbers of renewals at each time point are observed. Crowder and Stephens (2003, Lifetime Data Anal 9:345-355) implemented a formal estimating-equation approach that invokes large-sample theory. However, these asymptotic methods fail to yield sensible estimates for smaller samples. In this paper, we implement a Bayesian analysis based on MCMC computation that works equally well for large and small sample sizes. We give three simulated examples, studying the Bayesian results, the impact of changing prior specification, and empirical properties of the Bayesian estimators of the lifetime distribution parameters. We also study the Baxter (1994, Biometrika 81:567-577) data, and uncover structure that has not been commented upon previously.
authors.affiliation: Department of Mathematics, Imperial College London, 180 Queen's Gate, London, SW7 2BZ, UK. d.stephens@imperial.ac.uk
authors.forename: David A
authors.initials: DA
authors.lastname: Stephens
authors.forename: Martin J
authors.initials: MJ
authors.lastname: Crowder
mesh_terms: D001499:Bayes Theorem; D006801:Humans; D015993:Life Tables; D015233:Models, Statistical; D016019:Survival Analysis