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Handbook of Statistical Methods for Case-Control Studies

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

Print publication date:  July  2018
Online publication date:  June  2018

Print ISBN: 9781498768580
eBook ISBN: 9781315154084
Adobe ISBN:

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Book 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

Prelims Download PDF
Chapter  1:  Origins of the Case-Control Study Download PDF
Chapter  2:  Design Issues in Case-Control Studies Download PDF
Chapter  3:  Basic Concepts and Analysis Download PDF
Chapter  4:  Matched Case-Control Studies Download PDF
Chapter  5:  Multiple Case or Control Groups Download PDF
Chapter  6:  Causal Inference from Case-Control Studies Download PDF
Chapter  7:  The Case-Crossover Study Design in Epidemiology Download PDF
Chapter  8:  Small Sample Methods Download PDF
Chapter  9:  Power and Sample Size for Case-Control Studies Download PDF
Chapter  10:  Measurement Error and Case-Control Studies Download PDF
Chapter  11:  Alternative Formulation of Models in Case-Control Studies Download PDF
Chapter  12:  Multi-Phase Sampling Download PDF
Chapter  13:  Calibration in Case-Control Studies Download PDF
Chapter  14:  Secondary Analysis of Case-Control Data Download PDF
Chapter  15:  Response Selective Study Designs Using Existing Longitudinal Cohorts Download PDF
Chapter  16:  Cohort Sampling for Time-to-Event Data: An Overview Download PDF
Chapter  17:  Survival Analysis of Case-Control Data: A Sample Survey Approach Download PDF
Chapter  18:  Nested Case-Control Studies: A Counting Process Approach Download PDF
Chapter  19:  Inverse Probability Weighting in Nested Case-Control Studies Download PDF
Chapter  20:  Multiple Imputation for Sampled Cohort Data Download PDF
Chapter  21:  Maximum Likelihood Estimation for Case-Cohort and Nested Case-Control Studies Download PDF
Chapter  22:  The Self-Controlled Case Series Method Download PDF
Chapter  23:  Case-Control Designs for Modern Genome-Wide Association Studies: Basic Principles and Overview Download PDF
Chapter  24:  Analysis of Gene-Environment Interactions Download PDF
Chapter  25:  Two-Stage Testing for Genome-Wide Gene-Environment Interactions Download PDF
Chapter  26:  Family-Based Case-Control Approaches to Study the Role of Genetics Download PDF
Chapter  27:  Mixed Models for Case-Control Genome-Wide Association Studies: Major Challenges and Partial Solutions Download PDF
Chapter  28:  Analysis of Secondary Phenotype Data under Case-Control Designs Download PDF
Index Download PDF
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