The Cox Model and Its Applications

Hong-Dar Isaac Wu

ISBN 10: 3662493314 / ISBN 13: 9783662493311

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2016, 2016

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Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch.

Codice articolo 9783662493311

Dati bibliografici

• Titolo: The Cox Model and Its Applications
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2016
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3662493314
• ISBN 13: 9783662493311
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 8 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 8 millimetri di profondità
• Peso: 224 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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 of statistics at the National Chung-Hsing University of Taiwan.