Statistical Methods for Comparative Studies: Techniques for Bias Reduction

Copyright © 1980 John Wiley & Sons, Inc.

Statistical Methods for Comparative Studies: Techniques for Bias Reduction

Author(s): Sharon Anderson, Ariane Auquier, Walter W. Hauck, David Oakes, Walter Vandaele, Herbert I. Weisberg

Published Online: 27 MAY 2008

Print ISBN: 9780471048381

Online ISBN: 9780470316498

DOI: 10.1002/9780470316498

About this Book

Brings together techniques for the design and analysis of comparative studies. Methods include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and log linear analysis. Quantitatively assesses techniques' effectiveness in reducing bias. Discusses hypothesis testing, survival analysis, repeated measure design, and causal inference from comparative studies.

Table of contents

    1. You have free access to this content
      Frontmatter (pages i–xiii)

    2. Chapter 1

      Introduction (pages 1–6)

    3. Chapter 2

      Confounding Factors (pages 7–17)

    4. Chapter 3

      Expressing the Treatment Effect (pages 18–30)

    5. Chapter 4

      Randomized and Nonrandomized Studies (pages 31–45)

    6. Chapter 5

      Some General Considerations in Controlling Bias (pages 46–68)

    7. Chapter 6

      Matching (pages 69–112)

    8. Chapter 7

      Standardization and Stratification (pages 113–139)

    9. Chapter 8

      Analysis of Covariance (pages 140–160)

    10. Chapter 9

      Logit Analysis (pages 161–177)

    11. Chapter 10

      Log-Linear Analysis (pages 178–198)

    12. Chapter 11

      Survival Analysis (pages 199–234)

    13. Chapter 12

      Analyzing Data from Premeasure/Postmeasure Designs (pages 235–260)

    14. Chapter 13

      Choice of Procedure (pages 261–274)

    15. Chapter 14

      Considerations in Assessing Association and Causality (pages 275–279)

    16. You have free access to this content
      Index (pages 281–289)

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