The Cox Model and Its Applications (Paperback, 1st ed. 2016)

This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control. Since Sir David Cox's pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis. Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	SpringerBriefs in Statistics
Release date:	April 2016
First published:	2016
Authors:	Mikhail Nikulin • Hong-Dar Isaac Wu
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	124
Edition:	1st ed. 2016
ISBN-13:	978-3-662-49331-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
LSN:	3-662-49331-4
Barcode:	9783662493311

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