Chapman & Hall/CRC handbooks of modern statistical methods
يادداشت کلی
متن يادداشت
"A Chapman & Hall book."
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Origins of the case-control study / Norman E. Breslow and Noel Weiss -- Design issues in case-control studies / Duncan C. Thomas -- 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. Carroll -- 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. Heagerty -- Cohort sampling for time-to-event data : an overview / Ørnulf 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 / Ørnulf Borgan -- Inverse probability weighting in nested case-control studies / Sven Ove Samuelsen and Nathalie Stoer -- 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 Whitaker -- 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.
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یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
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عنوان
Handbook of statistical methods for case-control studies.