Chapter 11. Analysis of Survival Data and Data from Matched Studies

  1. Chap T. Le Distinguished Professor of Biostatistics Director of Biostatistics

Published Online: 20 MAY 2003

DOI: 10.1002/0471308889.ch11

Book Title

Introductory Biostatistics

Introductory Biostatistics

Additional Information

How to Cite

Le, C. T. (2003) Analysis of Survival Data and Data from Matched Studies, in Introductory Biostatistics, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471308889.ch11

Author Information

  1. Comprehensive Cancer Center, University of Minnesota, USA

Publication History

  1. Published Online: 20 MAY 2003
  2. Published Print: 21 MAR 2003

ISBN Information

Print ISBN: 9780471418160

Online ISBN: 9780471308881

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CHAPTER TOOLS

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Keywords:

  • survival data;
  • survival analysis;
  • censoring;
  • event;
  • Kapla–Meier curve;
  • regression;
  • simple regression;
  • multiple regression;
  • Cox's regression;
  • proportional hazards model;
  • measure of association;
  • stepwise regression;
  • test of goodness-of-fit;
  • time-dependent covariates

Summary

Study data may be collected in many different ways. In addition to surveys, which are cross-sectional, biomedical research data may come from different sources, the two fundamental designs being retrospective and prospective. This chapter begins with an introduction to some basic concepts and techniques of survival analysis. Next, we present Cox's regression models, followed by a discussion of methods for matched data. In the last few sections of the chapter we return to topics of retrospective studies, the analysis of data from matched case-control studies. A problem solving section appears at the end of the chapter.

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