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Handbook of Statistical Methods for Case-Control Studies
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Table of Contents

I Introduction

  1. Origins of the Case-Control Study
    Norman Breslow and Noel Weiss
  2. Design Issues in Case-Control Studies
    Duncan C. Thomas
  3. II Classical Case-Control Studies

  4. Basic Concepts and Analysis
    Barbara McKnight
  5. Matched Case-Control Studies
    Barbara McKnight
  6. Multiple Case or Control Groups
    Barbara McKnight
  7. Causal Inference from Case-Control Studies
  8. Vanessa Didelez and Robin J. Evans

  9. The Case-Crossover Study Design in Epidemiology
    Joseph A. Chris" Delaney and Samy Suissa
  10. Small Sample Methods
    Jinko Graham, Brad McNeney and Robert Platt
  11. Power and Sample Size for Case-Control Studies
  12. Mitchell H. Gail and Sebastien Haneuse

  13. Measurement Error and Case-Control Studies
    Raymond J. Carroll
  14. III Case-control and Longitudinal Designs that use Full-Cohort Information

  15. Alternative Formulation of Models in Case-Control Studies
    William E. Barlow and John B. Cologne
  16. Multi-Phase Sampling
    Gustavo Amorim, Alastair J. Scott, and Chris J. Wild
  17. Calibration in Case-Control Studies
    Thomas Lumley
  18. Secondary Analysis of Case-Control Data
    Chris J. Wild
  19. Response Selective Study Designs using Existing Longitudinal Cohorts
    Paul J. Rathouz, Jonathan S. Schildcrout, and Leila R. Zelnick and Patrick J. Heagerty
  20. IV Case-Control Studies for Time-to-Event Data

  21. Cohort Sampling for Time-to-Event Data: An Overview
    Ornulf Borgan and Sven Ove Samuelsen
  22. Survival Analysis of Case-Control Data: A Sample Survey Approach
    Norman Breslow and Jie Kate Hu
  23. Nested Case-Control Studies: A Counting Process Approach
    Ornulf Borgan
  24. Inverse Probability Weighting in Nested Case-Control Studies
    Sven Ove Samuelsen and Nathalie Stoer
  25. Multiple Imputation for Sampled Cohort Data
    Ruth H. Keogh
  26. Maximum Likelihood Estimation for Case-Cohort and Nested Case-Control Studies
    Donglin Zeng and Dan-Yu Lin
  27. The Self-Controlled Case Series Method
    Paddy Farrington and Heather Whitaker
  28. V Case-Control Studies in Genetic Epidemiology

  29. Case-Control Designs for Modern Genome-Wide Association Studies: Basic Principles and Overview
    Nilanjan Chatterjee
  30. Analysis of Gene-Environment Interactions
    Summer S. Han, Raymond J. Carroll, and Nilanjan Chatterjee
  31. Two-Stage Testing for Genome-Wide Gene-Environment Interactions
    James Y. Dai, Li Hsu and Charles Kooperberg
  32. Family-Based Case-Control Approaches to Study the Role of Genetics
    Clarice R. Weinberg, Min Shi and David M. Umbach
  33. Mixed Models for Case-Control Genome-Wide Association Studies: Major Challenges and Partial Solutions
    David Golan and Saharon Rosset
  34. Analysis of Secondary Phenotype Data under Case-Control Designs
    Guoqing Diao and Donglin Zeng and Dan-Yu Lin

About the Author

Ornulf Borgan is Professor of Statistics, University of Oslo. His book with Andersen, Gill and Keiding on counting processes in survival analysis is a world classic. Norman E. Breslow was, at the time of his death, Professor Emeritus in Biostatistics, University of Washington. For decades, his book with Nick Day has been the authoritative text on case-control methodology. Nilanjan Chatterjee is Bloomberg Distinguished Professor, Johns Hopkins University. He leads a broad research program in statistical methods for modern large scale biomedical studies. Mitchell H. Gail is a Senior Investigator at the National Cancer Institute. His research includes modeling absolute risk of disease, intervention trials, and statistical methods for epidemiology. Alastair Scott was, at the time of his death, Professor Emeritus of Statistics, University of Auckland. He was a major contributor to using survey sampling methods for analyzing case-control data. Chris J. Wild is Professor of Statistics, University of Auckland. His research includes nonlinear regression and methods for fitting models to response-selective data.

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