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Zusatztext 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. Klappentext 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. Zusammenfassung 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 Man-Haenszel methods, survival analysis, logistic regression, and generalized linear models. Inhaltsverzeichnis Part I Concept and Definitions 1: Associations Between Exposure and Disease 2: Models for Disease Part II Non-regression Methods 3: Analysis of Proportions 4: Analysis of Rates 5: Analysis of Time to Failure Part III Regression Methods 6: Regression Models for Proprtions 7: Defining Regressor Variables 8: Parametric Models for Hazard Functions 9: Proportional Hazards Regression Part IV Study Design and New Directions 10: Analysis of Matched Studies 11: Power and Sample Size Requirements 12: Extending Regression Models Appendix 1 Theory on Models for Disease Appendix 2 Theory on the Analysis of Proportions Appendix 3 Theory of Analysis Rates Appendix 4 Theory on Analysis of Time to Failure Appendix 5 Theory on Regression Models for Proportions Appendix 6 Theory on Parametric Models for Hazard Function Appendix 7 Theory on Analysis of Matched Studies ...
