Survival Analysis: Techniques for Censored and Truncated Data - Couverture rigide

Klein, John P.; Moeschberger, Melvin L.

Couverture rigide

ISBN 10 : 038795399X ISBN 13 : 9780387953991

Editeur : Springer-Verlag New York Inc., 2003

Synopsis

This text provides an introduction to modern techniques in survival analysis at a level suitable for most researchers. Counting methods have been presented in other books but only at a much higher mathematical level.

A propos du livre

Présentation de l'éditeur

Applied statisticians in many fields frequently analyze time-to-event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of survival experiments is complicated by issues of censoring and truncation. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex techniques accessible to applied researchers without the advanced mathematical background. The authors present the essentials of these techniques, as well as classical techniques not based on counting processes, and apply them to data. The second edition contains some new material as well as solutions to the odd-numbered revised exercises. New material consists of a discussion of summary statistics for competing risks probabilities in Chapter 2 and the estimation process for these probabilities in Chapter 4. A new section on tests of the equality of survival curves at a fixed point in time is added in Chapter 7. In Chapter 8 an expanded discussion is presented on how to code covariates and a new section on discretizing a continuous covariate is added. A new section on Lin and Ying's additive hazards regression model is presented in Chapter 10. We now proceed to a general discussion of the usefulness of this book incorporating the new material with that of the first edition.

Revue de presse

"For a statistician in the pharmaceutical industry, the new material in this second edition, such as the competing risks section, is directly relevant and in sufficient detail to be useful in practice. The examples used throughout the book are based on medical data ... . the data are well chosen and sufficiently complex to illustrate the methods very well." --Kim Hawkins, Pharmaceutical Statistics, Issue 4, 2004

"This is the second edition of a text whose first edition has already established a place for itself in the library of many applied statisticians, particularly biostatisticians. ... the book achieves a comprehensive coverage of the topic of survival analysis in a biomedical context, which serves the needs of students and researchers in a manner that is both interesting and mathematically satisfying. It deserves its place in the library of applied statisticians." --Gillian Z Heller, Statistics in Medicine, Vol. 23, 2004

Détails de l'édition

• Éditeur: Springer-Verlag New York Inc.
• Date d'édition: 2003
• ISBN 10: 038795399X
• ISBN 13: 9780387953991
• Reliure: Relié
• Langue: anglais
• Numéro d'édition: 2
• Nombre de pages: 538
• Coordonnées du fabricant: non disponible