„... a welcome addition to the literature on survivalanalysis... for a unified and thorough reference of classical theoryand models, this book is an excellent choice.“ (Journal ofthe American Statistical Association, March 2004)
„This book is a role-model for other who are planning to writebooks... every statistician and applied researcher ought to havethis book in their collection.“ (Journal of StatisticalComputation and Simulation, October 2003)
„... expanded and updated with recent research... a valuablereference... this book... merits a place on the bookshelf of anyoneconcerned with the analysis of lifetime data from any field.(Technometrics, Vol. 45, No. 3, August 2003)
“... updated version of the popular text... this excellent bookwill serve as either a reference or a graduate-level textbook.„(Short Book Reviews, Vol. 23, No. 2, August 2003)
“... excellent... provides a wealth of information for thosefamiliar with the area.„ (Pharmaceutical Research, Vol. 20, No. 9, September 2003)
“... the author's aim is to cover lifetime data analysis withoutconcentrating exclusively on any field of applications... hesucceeds quite well...„ (Zentralblatt Math, 2003)
“... rewritten to reflect new developments...„(Quarterly of Applied Mathematics, Vol. LXI, No. 2, June2003)
“Compared with the large number of other good textbooks in thethis field, this is one of the best. I highly recommend that allapplied statisticians add this volume to their libraries."(Applied Clinical Trials, May 2003)
Statistical Models and Methods for Lifetime Data
von Jerald F. Lawless„An indispensable addition to any serious collection on lifetimedata analysis and . . . a valuable contribution to the statisticalliterature. Highly recommended . . .“
-Choice
„This is an important book, which will appeal to statisticiansworking on survival analysis problems.“
-Biometrics
„A thorough, unified treatment of statistical models and methodsused in the analysis of lifetime data . . . this is a highlycompetent and agreeable statistical textbook.“
-Statistics in Medicine
The statistical analysis of lifetime or response time data is a keytool in engineering, medicine, and many other scientific andtechnological areas. This book provides a unified treatment of themodels and statistical methods used to analyze lifetime data.
Equally useful as a reference for individuals interested in theanalysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Editionprovides broad coverage of the area without concentrating on anysingle field of application. Extensive illustrations and examplesdrawn from engineering and the biomedical sciences provide readerswith a clear understanding of key concepts.
New and expanded coverage in this edition includes:
* Observation schemes for lifetime data
* Multiple failure modes
* Counting process-martingale tools
* Both special lifetime data and general optimizationsoftware
* Mixture models
* Treatment of interval-censored and truncated data
* Multivariate lifetimes and event history models
* Resampling and simulation methodology
