Willkommen, schön sind Sie da!
Logo Ex Libris

The Cox Model and Its Applications

  • E-Book (pdf)
  • 124 Seiten
(0) Erste Bewertung abgeben
Alle Bewertungen ansehen
This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, relia... Weiterlesen
CHF 65.90
Download steht sofort bereit
Informationen zu E-Books
E-Books eignen sich auch für mobile Geräte (sehen Sie dazu die Anleitungen).
E-Books von Ex Libris sind mit Adobe DRM kopiergeschützt: Erfahren Sie mehr.
Weitere Informationen finden Sie hier.
Bestellung & Lieferung in eine Filiale möglich


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.

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.

Introduction: Several Classical Data Examples for Survival Analysis.- Elements of Survival Analysis.- The Cox Proportional Hazards Model.- The AFT, GPH, LT, Frailty, and GLPH Models.- Cross-effect Models of Survival Functions.- The Simple Cross-effect Model.- Goodness-of-Fit for the Cox Model.- Remarks on Computations in Parametric and Semiparametric Estimation.- Cox Model for Degradation and Failure Time Data.- References.- Index.


Titel: The Cox Model and Its Applications
EAN: 9783662493328
ISBN: 978-3-662-49332-8
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Herausgeber: Springer
Genre: Grundlagen
Veröffentlichung: 11.04.2016
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 2.51 MB
Anzahl Seiten: 124
Jahr: 2016

Weitere Bände aus der Buchreihe "SpringerBriefs in Statistics"