Chapter 6. Risk Ratio Methods for Closed Cohort Data

  1. Stephen C. Newman

Published Online: 31 MAR 2003

DOI: 10.1002/0471272612.ch6

Book Title

Biostatistical Methods in Epidemiology

Biostatistical Methods in Epidemiology

Additional Information

How to Cite

Newman, S. C. (2003) Risk Ratio Methods for Closed Cohort Data, in Biostatistical Methods in Epidemiology, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471272612.ch6

Publication History

  1. Published Online: 31 MAR 2003
  2. Published Print: 11 JAN 2002

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. David J. Balding,
  2. Peter Bloomfield,
  3. Noel A.C. Cressie,
  4. Nicholas I. Fisher,
  5. Iain M. Johnstone,
  6. J.B. Kadane,
  7. Louise M. Ryan,
  8. David W. Scott,
  9. Adrian F.M. Smith,
  10. Jozef L. Teugels

ISBN Information

Print ISBN: 9780471369141

Online ISBN: 9780471272618

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Keywords:

  • risk ratio;
  • exact;
  • asymptotic;
  • weighted least squares;
  • Mantel–Haenszel

Summary

This chapter presents risk ratio methods for analyzing unstratified and stratified data from a closed cohort study in which there are two or more exposure categories. One of the aims is to compare asymptotic unconditional, Mantel–Haenszel, and weighted least squares methods, and to demonstrate that in many applications the various methods produce similar numerical results. Recommendations are provided for choosing methods for particular situations.

The section and subsection headings of the chapter are as follows:

  • Asymptotic Unconditional Methods for a Single 2 × 2 Table

  • Asymptotic Unconditional Methods for J (2 × 2) Tables

    • Point Estimates and Fitted Counts

    • Confidence Interval

    • Wald and Likelihood Ratio Tests of Association

    • Likelihood Ratio Test of Homogeneity

  • Mantel–Haenszel Estimate of the Risk Ratio

  • Weighted Least Squares Methods for J (2 × 2) Tables

  • Summary of Examples and Recommendations

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