Multivariate Methods in Epidemiology by Theodore R. HolfordMultivariate Methods in Epidemiology by Theodore R. Holford

Multivariate Methods in Epidemiology

byTheodore R. Holford

Hardcover | May 15, 2002

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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 thedisease 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, aworked 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 afoundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data.
Theodore R. Holford is at Yale University School of Medicine.
Title:Multivariate Methods in EpidemiologyFormat:HardcoverDimensions:440 pages, 6.42 × 9.29 × 1.42 inPublished:May 15, 2002Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195124405

ISBN - 13:9780195124408

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Table of Contents

Part I Concept and Definitions1. Associations Between Exposure and Disease2. Models for DiseasePart II Non-regression Methods3. Analysis of Proportions4. Analysis of Rates5. Analysis of Time to FailurePart III Regression Methods6. Regression Models for Proprtions7. Defining Regressor Variables8. Parametric Models for Hazard Functions9. Proportional Hazards RegressionPart IV Study Design and New Directions10. Analysis of Matched Studies11. Power and Sample Size Requirements12. Extending Regression ModelsAppendix 1 Theory on Models for DiseaseAppendix 2 Theory on the Analysis of ProportionsAppendix 3 Theory of Analysis RatesAppendix 4 Theory on Analysis of Time to FailureAppendix 5 Theory on Regression Models for ProportionsAppendix 6 Theory on Parametric Models for Hazard FunctionAppendix 7 Theory on Analysis of Matched Studies

Editorial Reviews

"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