Handbook of statistical methods for case-control studies

Table of Contents
I Introduction

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

3. Basic Concepts and Analysis
Barbara McKnight

4. Matched Case-Control Studies
Barbara McKnight

5. Multiple Case or Control Groups
Barbara McKnight

6. Causal Inference from Case-Control Studies
Vanessa Didelez and Robin J. Evans

7. The Case-Crossover Study Design in Epidemiology
Joseph A. "Chris" Delaney and Samy Suissa

8. Small Sample Methods
Jinko Graham, Brad McNeney and Robert Platt

9. Power and Sample Size for Case-Control Studies
Mitchell H. Gail and Sebastien Haneuse

10. Measurement Error and Case-Control Studies
Raymond J. Carroll

III Case-control Studies that Use Full-Cohort Information

11. Alternative Formulation of Models in Case-Control Studies
William E. Barlow and John B. Cologne

12. Multi-Phase Sampling
Gustavo Amorim, Alastair J. Scott, and Chris J. Wild

13. Calibration in Case-Control Studies
Thomas Lumley

14. Secondary Analysis of Case-Control Data
Chris J. Wild

15. Response Selective Study Designs using Existing Longitudinal Cohorts
Paul J. Rathouz, Jonathan S. Schildcrout, and Leila R. Zelnick and Patrick J. Heagerty

IV Case-Control Studies for Time-to-Event Data

16. Cohort Sampling for Time-to-Event Data: An Overview
Ornulf Borgan and Sven Ove Samuelsen

17. Survival Analysis of Case-Control Data: A Sample Survey Approach
Norman Breslow and Jie Kate Hu

18. Nested Case-Control Studies: A Counting Process Approach
Ornulf Borgan

19. Inverse Probability Weighting in Nested Case-Control Studies
Sven Ove Samuelsen and Nathalie Stoer

20. Multiple Imputation for Sampled Cohort Data
Ruth H. Keogh

21. Maximum Likelihood Estimation for Case-Cohort and Nested Case-Control Studies
Donglin Zeng and Dan-Yu Lin

22. The Self-Controlled Case Series Method
Paddy Farrington and Heather Whitaker

V Case-Control Studies in Genetic Epidemiology

23. Case-Control Designs for Modern Genome-Wide Association Studies: Basic Principles and Overview
Nilanjan Chatterjee

24. Analysis of Gene-Environment Interactions
Summer S. Han, Raymond J. Carroll, and Nilanjan Chatterjee

25. Two-Stage Testing for Genome-Wide Gene-Environment Interactions
James Y. Dai, Li Hsu and Charles Kooperberg

26. Family-Based Case-Control Approaches to Study the Role of Genetics
Clarice R. Weinberg, Min Shi and David M. Umbach

27. Mixed Models for Case-Control Genome-Wide Association Studies: Major Challenges and Partial Solutions
David Golan and Saharon Rosset

28. Analysis of Secondary Phenotype Data under Case-Control Designs
Guoqing Diao and Donglin Zeng and Dan-Yu Lin

Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and methods. The handbook is designed to serve as a reference text for biostatisticians and quantitatively-oriented epidemiologists who are working on the design and analysis of case-control studies or on related statistical methods research. Though not specifically intended as a textbook, it may also be used as a backup reference text for graduate-level courses.

Book Sections

Classical designs and causal inference, measurement error, power, and small-sample inference
Designs that use full-cohort information
Time-to-event data
Genetic epidemiology

https://www.crcpress.com/Handbook-of-Statistical-Methods-for-Case-Control-Studies/Borgan-Breslow-Chatterjee-Gail-Scott-Wild/p/book/9781498768580