Ørnulf Borgan, Norman Breslow, Nilanjan Chatterjee, Mitchell H. Gail, Alastair Scott, Chris J. Wild
Chapman and Hall/CRC
Published July 2, 2018
Reference - 536 Pages
ISBN 9781498768580 - CAT# K29253
Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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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.
About the Editors
Ørnulf 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.
II Classical Case-Control Studies
Vanessa Didelez and Robin J. Evans
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
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
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
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
|October 30, 2018||Resources||