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Applied Survival Analysis: Regression Modeling of Time‐to‐Event Data, 2nd edition by HOSMER, D. W., LEMESHOW, S., and MAY, S.

Applied Survival Analysis: Regression Modeling of Time‐to‐Event Data, 2nd edition by HOSMER, D.... HOSMER , D. W. , LEMESHOW , S. , and MAY , S. Applied Survival Analysis: Regression Modeling of Time‐to‐Event Data , 2nd edition. Wiley , New York , 2008 . xiii + 392 pp. $110.00/€92.90 . ISBN 9780471754992 . The first edition of this book was not reviewed in Biometrics , so a brief review is in order before highlighting changes from the first edition. I would describe this as an “application‐leaning” book: not inherently mathematical, but definitely not a cookbook. Readers are expected to have had past course work in applied regression and logistic regression. The general approach taken by the authors is to describe models and methods, explain how and why they are used, and then apply them to an example and discuss the results. It sounds like what every book should do, but I am impressed at how evenly the authors pursue all of these goals. For example, the math level is limited but not absent. Formulas are given for variances of many quantities; likelihoods, score functions, and information matrices are often given; and matrix notation is used where needed. This is balanced well with time spent discussing the applications, interpreting the analysis results, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biometrics Wiley

Applied Survival Analysis: Regression Modeling of Time‐to‐Event Data, 2nd edition by HOSMER, D. W., LEMESHOW, S., and MAY, S.

Biometrics , Volume 65 (2) – Jun 1, 2009

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Publisher
Wiley
Copyright
© 2009, The International Biometric Society
ISSN
0006-341X
eISSN
1541-0420
DOI
10.1111/j.1541-0420.2009.01247_14.x
Publisher site
See Article on Publisher Site

Abstract

HOSMER , D. W. , LEMESHOW , S. , and MAY , S. Applied Survival Analysis: Regression Modeling of Time‐to‐Event Data , 2nd edition. Wiley , New York , 2008 . xiii + 392 pp. $110.00/€92.90 . ISBN 9780471754992 . The first edition of this book was not reviewed in Biometrics , so a brief review is in order before highlighting changes from the first edition. I would describe this as an “application‐leaning” book: not inherently mathematical, but definitely not a cookbook. Readers are expected to have had past course work in applied regression and logistic regression. The general approach taken by the authors is to describe models and methods, explain how and why they are used, and then apply them to an example and discuss the results. It sounds like what every book should do, but I am impressed at how evenly the authors pursue all of these goals. For example, the math level is limited but not absent. Formulas are given for variances of many quantities; likelihoods, score functions, and information matrices are often given; and matrix notation is used where needed. This is balanced well with time spent discussing the applications, interpreting the analysis results,

Journal

BiometricsWiley

Published: Jun 1, 2009

There are no references for this article.