Survival Analysis: Techniques for Censored and Truncated Data (Statistics for Biology and Health) - Hardcover

Klein, John P.; Moeschberger, Melvin L.

Hardcover

ISBN 10: 038795399X ISBN 13: 9780387953991

Publisher: Springer, 2003

Synopsis

Applied statisticians in many fields must 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, where an individual's life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. 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 methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of Practical Notes at the end of each section. Technical details of the derivation of the techniques are sketched in a series of Technical Notes. This book will be useful for investigators who need to analyze censored or truncated life time data, and as a textbook for a graduate course in survival analysis. The prerequisite is a standard course in statistical methodology.

About this title

Review

"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

Edition details

• Publisher: Springer
• Publication date: 2003
• ISBN 10: 038795399X
• ISBN 13: 9780387953991
• Binding: Hardcover
• Language: English
• Edition number: 2
• Number of pages: 554