DISCRETE-TIME BIVARIATE HAZARDS WITH UNOBSERVED HETEROGENEITY: A PARTIALLY OBSERVED CONTINGENCY TABLE APPROACH

This paper proposes methods for the analysis of discrete-time survival data in which hazards are observed for pairs or larger clusters of observations. Discrete-time hazard models are commonly used in social research, either as approximations to continuous time models or for the representation of processes in which "time" is intrinsically discrete. As for all hlazard models, unmeasured heterogeneity may bias estimates of the effects of determinants of discrete hazards, even when measured determi

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