Author	Kleinbaum, David G. author
Title	Survival Analysis [electronic resource] : A Self-Learning Text / by David G. Kleinbaum
Imprint	New York, NY : Springer New York : Imprint: Springer, 1996
Connect to	http://dx.doi.org/10.1007/978-1-4757-2555-1
Descript	XII, 324 p. online resource

This text on smvival analysis methods contains the following chapters: 1 Introduction to Smvival Analysis 2 Kaplan-Meier Survival Curves and the Log-Rank Test 3 The Cox Proportional Hazards Model and Its Characteristics 4 Evaluating the Proportional Hazards Assumption 5 The Stratified Cox Procedure 6 Extension of the Cox Proportional Hazards Model for Timeยญ Dependent Variables Each chapter contains a presentation of its topic in '1ecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in the left column of each page and a script in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highยญ light the main points, formulae, or examples being presented. The reader may also purchase directly from the author audio cassette tapes of each chapter. The use of the audiotape with the illustrations and formuยญ lae, ignoring the script, is intended to be similar to a lecture. Tapes may be obtained by writing or calling the author at the following address: Departยญ ment of Epidemiology, Rollins School of Public Health, Emory University, 1518 CliftoIi Rd. N. E. , Atlanta, GA 30322; phone (404) 727-9667. This text is intended for self-study

1 Introduction to Survival Analysis -- 2 Kaplan-Meier Survival Curves and the Log-Rank Test -- 3 The Cox Proportional Hazards Model and Its Characteristics -- 4 Evaluating the Proportional Hazards Assumption -- 5 The Stratified Cox Procedure -- 6 Extension of the Cox Proportional Hazards Model for Time-Dependent Variables -- Appendix A: Computer Programs for Survival Analysis -- Appendix B: Datasets -- Test Answers -- References

1. Statistics
2. Epidemiology
3. Statistics
4. Statistics for Life Sciences
5. Medicine
6. Health Sciences
7. Epidemiology