Survival Analysis

1. Front Matter

   Pages i-xii

   PDF

2. Introduction to Survival Analysis

   • David G. Kleinbaum

   Pages 1-44

3. Kaplan-Meier Survival Curves and the Log-Rank Test

   • David G. Kleinbaum

   Pages 45-82

4. The Cox Proportional Hazards Model and Its Characteristics

   • David G. Kleinbaum

   Pages 83-128

5. Evaluating the Proportional Hazards Assumption

   • David G. Kleinbaum

   Pages 129-169

6. The Stratified Cox Procedure

   • David G. Kleinbaum

   Pages 171-210

7. Extension of the Cox Proportional Hazards Model for Time-Dependent Variables

   • David G. Kleinbaum

   Pages 211-254

8. Back Matter

   Pages 255-324

   PDF

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 Time­ 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 high­ 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 formu­ 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: Depart­ 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.

• Excel
• Public Health
• Survival analysis
• epidemiology
• linear optimization

• Department of Epidemiology, Emory University, Atlanta, USA

  David G. Kleinbaum

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