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The basis for much of medical public health practice comes from epidemiological research. This text describes current statistical tools that are used to analyze the association between possible risk factors and the actual risk of disease. Beginning with a broad conceptual framework on the disease process, it describes commonly used techniques for analyzing proportions and disease rates. These are then extended to model fitting, and the common threads of logic that bind the two analytic strategies together are revealed. Each chapter provides a descriptive rationale for the method, a worked example using data from a published study, and an exercise that allows the reader to practice the technique. Each chapter also includes an appendix that provides further details on the theoretical underpinnings of the method. Among the topics covered are Mantel-Haenszel methods, rates, survival analysis, logistic regression, and generalized linear models. Methods for incorporating aspects of study design, such as matching, into the analysis are discussed, and guidance is given for determining the power or the sample size requirements of a study. This text will give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data.
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"This book will give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data."--CAB Abstracts
Theodore Holford is Professor of Biostatistics and Statistics at Yale University.
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"This book will give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data."--CAB Abstracts
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- PublisherOxford University Press
- Publication date2002
- ISBN 10 0195124405
- ISBN 13 9780195124408
- BindingHardcover
- Edition number1
- Number of pages408
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MULTIVARIATE METHODS IN EPIDEMIO
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Multivariate Methods in Epidemiology: 32 (Monographs in Epidemiology and Biostatistics)
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Book Description Hardcover. Condition: new. Hardcover. The basis for much of medical public health practice comes from epidemiological research. This text describes current statistical tools that are used to analyze the association between possible risk factors and the actual risk of disease. Beginning with a broad conceptual framework on the disease process, it describes commonly used techniques for analyzing proportions and disease rates. These are then extended to model fitting, and the common threads of logicthat bind the two analytic strategies together are revealed. Each chapter provides a descriptive rationale for the method, a worked example using data from a published study, and an exercise that allowsthe reader to practice the technique. Each chapter also includes an appendix that provides further details on the theoretical underpinnings of the method. Among the topics covered are Mantel-Haenszel methods, rates, survival analysis, logistic regression, and generalized linear models. Methods for incorporating aspects of study design, such as matching, into the analysis are discussed, and guidance is given for determining the power or the sample size requirements of a study. This textwill give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data. This text for graduate students in epidemiology and biostatistics describes the statistical tools that are currently used in the analysis of proportions and disease rates and on model fitting. Among the topics covered are Mantel-Haenszel methods, survival analysis, logistic regression, and generalized linear models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780195124408
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Multivariate Methods in Epidemiology (Hardcover)
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Book Description Hardcover. Condition: new. Hardcover. The basis for much of medical public health practice comes from epidemiological research. This text describes current statistical tools that are used to analyze the association between possible risk factors and the actual risk of disease. Beginning with a broad conceptual framework on the disease process, it describes commonly used techniques for analyzing proportions and disease rates. These are then extended to model fitting, and the common threads of logicthat bind the two analytic strategies together are revealed. Each chapter provides a descriptive rationale for the method, a worked example using data from a published study, and an exercise that allowsthe reader to practice the technique. Each chapter also includes an appendix that provides further details on the theoretical underpinnings of the method. Among the topics covered are Mantel-Haenszel methods, rates, survival analysis, logistic regression, and generalized linear models. Methods for incorporating aspects of study design, such as matching, into the analysis are discussed, and guidance is given for determining the power or the sample size requirements of a study. This textwill give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data. This text for graduate students in epidemiology and biostatistics describes the statistical tools that are currently used in the analysis of proportions and disease rates and on model fitting. Among the topics covered are Mantel-Haenszel methods, survival analysis, logistic regression, and generalized linear models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780195124408
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