By Gerhard Tutz,Matthias Schmid

This e-book makes a speciality of statistical tools for the research of discrete failure occasions. Failure time research is among the most vital fields in statistical examine, with purposes affecting a variety of disciplines, particularly, demography, econometrics, epidemiology and medical study. even if there are a wide number of statistical equipment for failure time research, many concepts are designed for failure instances which are measured on a continuing scale. In empirical reports, although, failure occasions are frequently discrete, both simply because they've been measured in durations (e.g., quarterly or every year) or simply because they've been rounded or grouped. The booklet covers well-established equipment like life-table research and discrete possibility regression versions, but in addition introduces state-of-the paintings innovations for version review, nonparametric estimation and variable choice. all through, the tools are illustrated via actual existence purposes, and relationships to survival research in non-stop time are defined. every one part contains a set of routines at the respective subject matters. a number of capabilities and instruments for the research of discrete survival information are amassed within the R package deal discSurv that accompanies the book. 

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Modeling Discrete Time-to-Event Data (Springer Series in Statistics) by Gerhard Tutz,Matthias Schmid


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