Sharon Roe Anderson & Ariane Auquier 
Statistical Methods for Comparative Studies 
Techniques for Bias Reduction

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 Content

Introduction.

Confounding Factors.

Expressing the Treatment Effect.

Randomized and Nonrandomized Studies.

Some General Considerations in Controlling Bias.

Matching.

Standardization and Stratification.

Analysis of Covariance.

Logit Analysis.

Log-Linear Analysis.

Survival Analysis.

Analyzing Data From Premeasure/Postmeasure Designs.

Choice of Procedure.

Considerations in Assessing.

Association and Causality.

Index.

About the author

Sharon Roe Anderson, cofounder of Aurora Consulting, is an experienced facilitator and consultant around issues related to strategic planning, team building, facilitation, nonprofit board governance, and implementation.