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The Cox Model and Its Applications
Mikhail Nikulin
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Description for The Cox Model and Its Applications
Paperback. Series: SpringerBriefs in Statistics. Num Pages: 137 pages, 7 black & white illustrations, 18 colour illustrations, biography. BIC Classification: MBNS; PBT; PSA. Category: (G) General (US: Trade). Dimension: 235 x 155 x 8. Weight in Grams: 226.
This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.
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. ... Read moreProduct Details
Format
Paperback
Publication date
2016
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
137
Condition
New
Series
SpringerBriefs in Statistics
Number of Pages
124
Place of Publication
Berlin, Germany
ISBN
9783662493311
SKU
V9783662493311
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Mikhail Nikulin
M.S. Nikulin received his Ph.D. at the V. Steklov Mathematical Institute in Moscow in (1973). He is a professor of statistics at the Bordeaux University since 1992. He is the author of 15 books and more than 200 papers. Dr H.-D. I. Wu received his Ph.D. from the National Taiwan University and is currently an associate professor ... Read more
Reviews for The Cox Model and Its Applications
“This book discusses some important parametric models as well as several semiparametric regression models. … The book is primarily aimed at students, biostatisticians, and researchers who are interested in the application of survival analysis and reliability theory in the areas of medicine, epidemiology, clinical trials, insurance, and social science. … The chapters include figures and examples for better understanding. The ... Read more