My annotated bibliography for MS-level class -- I used Hosmer, Lemeshow and May the first time (the UCLA site is a great companion, but there is thin coverage of important topics such as competing risks, and I flat out dislike some of the content), then Collett the second time I taught the course. (Collett covers more topics but is excessively wordy, which is very unfriendly to students who are not fully comfortable reading written English.)
The students didn't rely much on the textbook either time. Based on the earlier responses to your message, I may give Lee and Wang a look for next time......
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Applied Survival Analysis: Regression Modeling of Time-to-Event Data (2nd Edition). David W. Hosmer, Stanley Lemeshow, Susanne May. Wiley, 2008.
This text isn't nearly as beloved as Hosmer & Lemeshow's book on logistic regression, but some parts are quite good and there is excellent support (SAS, Stata, SPSS code; some R) at the UCLA website: https://stats.idre.ucla.edu/other/examples/asa2/
Survival Analysis: Techniques for Censored and Truncated Data (2nd Edition). John P. Klein and Melvin L. Moeschberger Springer, 2003.
A classic text, with clear explanations of selected fundamental concepts and important advanced topics. Lacks practical guidance (software code).
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Judith D. Singer & John B. Willett. Oxford University Press, 2003.
Text covering both longitudinal data analysis and survival analysis. Excellent for sound, well-reasoned, well-researched advice for applied analysis. Companion website http://www.ats.ucla.edu/stat/examples/alda.htm
Modeling Survival Data: Extending the Cox Model. Terry M. Therneau & Patricia M. Grambsch. Springer, 2000.
Pretty rigorous for theory (including counting processes and martingales), but Therneau is responsible for the R "survival" package, so there's an emphasis on software as well (R, plus some SAS).
Survival Analysis Using SAS: A Practical Guide. Paul D. Allison. SAS Institute, 2010. The title says it all!
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Brenda Kurland
Research Associate Professor
University of Pittsburgh
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Original Message:
Sent: 10-31-2017 11:15
From: Ana Nora Donaldson
Subject: Survival Analysis Book
A good intro/intermed level book is "Survival Analysis: A practical approach" by M Parmar and D Machin.
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Ana Nora Donaldson
Stony Brook University
Original Message:
Sent: 10-27-2017 09:04
From: Rebecca Pierce
Subject: Survival Analysis Book
What book would you recommend to a master's level graduate student to initially learn about survival models?