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Time-to-event data are ubiquitous in fields such as medicine, biology, demography, sociology, economics and reliability theory. Recently, a need to analyze more complex event histories has emerged. Examples are individuals that move among several states, frailty that makes some units fail before others, internal time-dependent covariates, and the estimation of causal effects from observational data. The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes.
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It seems that you're in Germany. We have a dedicated site for Germany. Time-to-event data are ubiquitous in fields such as medicine, biology, demography, sociology, economics and reliability theory. Recently, a need to analyze more complex event histories has emerged. Examples are individuals that move among several states, frailty that makes some units fail before others, internal time-dependent covariates, and the estimation of causal effects from observational data. The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully.
Event History Analysis. A Process Point of View Download book PDF. Chapters Table of Stochastic processes in event history analysis. Pages PDF.
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[PDF Download] Survival and Event History Analysis: A Process Point of View (Statistics for
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Request PDF | On Jan 1, , Odd O. Aalen and others published Survival and Event History Analysis: A Process Point of View | Find, read.