Handbook of Statistical Methods for Case-Control Studies: 1st Edition (Hardback) book cover

Handbook of Statistical Methods for Case-Control Studies

1st Edition

Edited by Ørnulf Borgan, Norman Breslow, Nilanjan Chatterjee, Mitchell H. Gail, Alastair Scott, Chris J. Wild

Chapman and Hall/CRC

536 pages

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Hardback: 9781498768580
pub: 2018-07-02
$119.95
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Description

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

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.

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

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

Supplementary Material:

http://www.mn.uio.no/math/english/research/groups/statistics-biostatistics/handbook-of-case-control-studies/index.html

Author Website:

https://www.mn.uio.no/math/english/research/groups/statistics-biostatistics/handbook-of-case-control-studies/

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.

About the Series

Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General
MED028000
MEDICAL / Epidemiology
MED090000
MEDICAL / Biostatistics