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date: 23 July 2019

Abstract and Keywords

The chapter gives an instruction to event history analysis. The central goals are first to justify why what perhaps must be considered an unusual modeling approach is needed and next to explicate in some detail what the key ideas from probability theory are and how these ideas solve the problems that arise when using more standard techniques such as regression analysis for continuous dependent variables or logit analysis for binary dependent variables. Elaborations for how to take account of measured variables are given. It elaborates on what the dependent variable is in event history analysis, on the framework for repeated event processes, multi-state processes, and continuous-state space processes.

Keywords: Event history analysis, hazard-rate models, time-independent covariates, time-dependent covariates, repeated-event processes, multi-state processes, continuous state-space processes

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