Description
Handbook of Statistical Methods for Case-Control Studies
Chapman & Hall/CRC Handbooks of Modern Statistical Methods Series
Coordinators: Borgan Ørnulf, Breslow Norman, Chatterjee Nilanjan, Gail Mitchell H., Scott Alastair, Wild Chris J.
Language: EnglishSubjects for Handbook of Statistical Methods for Case-Control Studies:
Keywords
Self-controlled Case Series; Self-controlled Case Series Method; experimental design; Case Control GWAS; cohort studies; Sampled Risk Set; genetic epidemiology; IPW Estimator; cohort sampling; Case Control Data; maximum likelihood; NCC; Norman E; Breslow; Case Control Sampling; Noel Weiss; Nested Case Control Sampling; Duncan C; Thomas; Nested Case Control Study; Barbara McKnight; Nested Case Control Design; Vanessa Didelez; Case Cohort Design; Robin J; Evans; Full Cohort; Joseph A; “ChrisDelaney; Retrospective Likelihood; Samy Suissa; Partial Likelihood; Jinko Graham; Matched Case Control Study; Brad McNeneys; Cox’s Regression Model; Robert Platt; Case Cohort Studies; Mitchell H; Gail; Imputation Model; Sebastien Haneuse; Semiparametric Maximum Likelihood; Donglin Zeng; Matching Variables; Dan-Yu Lin; Case Cohort Analyses; Paddy Farrington; Tchetgen Tchetgen; Heather Whitaker; Cumulative Hazard; Nilanjan Chatterjee; Multiple Imputation; James Y; Dai; Li Hsu; Charles Kooperberg; Clarice R; Weinberg; Min Shi; David M; Umbach; David Golan; Saharon Rosset; Guoqing Diao
Publication date: 06-2020
· 17.8x25.4 cm · Paperback
Publication date: 07-2018
· 17.8x25.4 cm · Hardback
Description
/li>Contents
/li>Biography
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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.
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.
Introduction. Introduction. Origins. Classical Case-Control Studies. Design issues in case-control studies. Basic concepts and methods of analysis. Matched samples. Beyond logistic regression. Small sample methods. Multiple case or control groups. Power and sample size. Causal inference. Misclassification and measurement error. Analysis of secondary phenotype under case-control design. Sampling from a Defined Cohort. Two and three (or multi) phase sampling designs. Calibration and estimation of sampling weights. Maximum likelihood. Re-use of case-control samples. Misspecification. Case-control studies with complex sampling. Cohort sampling for time to event data. Case-cohort designs and analyses. Design options and partial likelihood analyses of nested case-control data. Inverse probability weighting in nested case-control studies. Multiple imputation. Maximum likelihood. Self controlled case series. Genetic Epidemiology. Basic design and association analysis of population-based case-control studies. Analysis of gene-environment interactions. Screening methods for detecting genetic association and interactions under case-control design. Analysis of family-based case-control studies. Fitting mixed model to case-control genome-wide association studies. Analysis of secondary phenotype under case-control design.
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.
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