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Modeling Discrete Time-to-Event Data (Springer Series in Statistics)

Gerhard Tutz, Matthias Schmid




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 | #778149 in Books |  2016-06-15 | Original language:English | PDF # 1 |  9.21 x.63 x6.14l,.0 | File type: PDF | 247 pages

||0 of 0 people found the following review helpful.| Good text to introduce concepts of discrete time-to-event analyses and ...|By Customer|Good text to introduce concepts of discrete time-to-event analyses and some relevant applications. The book includes some useful introduction to discrete time analyses, and more generally survival analysis, but also some more specific applications (e.g. competing risks, multiple-spell analys|From the Back Cover|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, de

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 scal...

You easily download any file type for your gadget.Modeling Discrete Time-to-Event Data (Springer Series in Statistics)   |  Gerhard Tutz, Matthias Schmid. I was recommended this book by a dear friend of mine.

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