Modeling Discrete Time to Event Data is popular PDF and ePub book, written by Gerhard Tutz in 2016-06-14, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Modeling Discrete Time to Event Data can be Read Online from any device for your convenience.
Modeling Discrete Time to Event Data Book PDF Summary
This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.
Detail Book of Modeling Discrete Time to Event Data PDF
- Author : Gerhard Tutz
- Release : 14 June 2016
- Publisher : Springer
- ISBN : 9783319281582
- Genre : Mathematics
- Total Page : 252 pages
- Language : English
- PDF File Size : 18,9 Mb
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