Borgan O., Breslow N., Chatterjee N., Gail M.H., Scott A., Wild C.J. Handbook of Statistical Methods for Case-Control Studies

New York: Taylor and Francis, 2017. — 555 p.This handbook provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, with a primary focus on case-control studies in epidemiology. Authors will be encouraged to illustrate the statistical methods they describe by application to datasets that are either already publicly available or can be made so. A handbook website will be established that provides readers access to those datasets and software used to analyze them. Wherever feasible, authors will be asked to construct their examples using the R statistical language, though programs in SAS, Stata or other common languages will also be acceptedAbout the Editors
List of ContributorsOrigins of the Case-Control Study
Norman E. Breslow and Noel Weiss
Design Issues in Case-Control Studies
Duncan C. ThomasClassical Case-Control Studies
Basic Concepts and Analysis
Barbara McKnight
Matched Case-Control Studies
Barbara McKnight
Multiple Case or Control Groups
Barbara McKnight
Causal Inference from Case-Control Studies
Vanessa Didelez and Robin J. Evans
The Case-Crossover Study Design in Epidemiology
Joseph A. “Chris” Delaney and Samy Suissa
Small Sample Methods
Jinko Graham, Brad McNeney, and Robert Platt
Power and Sample Size for Case-Control Studies
Mitchell H. Gail and Sebastien Haneuse
Measurement Error and Case-Control Studies
Raymond J. CarrollCase-control Studies that Use Full-Cohort Information
Alternative Formulation of Models in Case-Control Studies
William E. Barlow and John B. Cologne
Multi-Phase Sampling
Gustavo Amorim, Alastair J. Scott, and Chris J. Wild
Calibration in Case-Control Studies
Thomas Lumley
Secondary Analysis of Case-Control Data
Chris J. Wild
Response Selective Study Designs Using Existing Longitudinal Cohorts
Paul J. Rathouz, Jonathan S. Schildcrout, Leila R. Zelnick, and Patrick J. HeagertyCase-Control Studies for Time-to-Event Data
Cohort Sampling for Time-to-Event Data: An Overview
Borgan and Sven Ove Samuelsen
Survival Analysis of Case-Control Data: A Sample Survey Approach
Norman E. Breslow and Jie Kate Hu
Nested Case-Control Studies: A Counting Process Approach
Borgan
Inverse Probability Weighting in Nested Case-Control Studies
Sven Ove Samuelsen and Nathalie Støer
Multiple Imputation for Sampled Cohort Data
Ruth H. Keogh
Maximum Likelihood Estimation for Case-Cohort and Nested Case Control Studies
Donglin Zeng and Dan-Yu Lin
The Self-Controlled Case Series Method
Paddy Farrington and Heather WhitakerCase-Control Studies in Genetic Epidemiology
Case-Control Designs for Modern Genome-Wide Association Studies: Basic Principles and Overview
Nilanjan Chatterjee
Analysis of Gene-Environment Interactions
Summer S. Han, Raymond J. Carroll, and Nilanjan Chatterjee
Two-Stage Testing for Genome-Wide Gene-Environment Interactions
James Y. Dai, Li Hsu, and Charles Kooperberg
Family-Based Case-Control Approaches to Study the Role of Genetics
Clarice R. Weinberg, Min Shi, and David M. Umbach
Mixed Models for Case-Control Genome-Wide Association Studies: Major Challenges and Partial Solutions
David Golan and Saharon Rosset
Analysis of Secondary Phenotype Data under Case-Control Designs
Guoqing Diao, Donglin Zeng, and Dan-Yu Lin