The basis for much of medical public health practice comes from epidemiological research. This text describes current statistical tools that are used to analyse 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 analysing 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 generalised 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.
Reviews
The presentation style is excellent, and the book is full of thought provoking ideas. * Journal of Statistical Computation and Simulation *
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 *



Book Information
ISBN 9780195124408
Author Theodore R. Holford
Format Hardback
Page Count 440
Imprint Oxford University Press Inc
Publisher Oxford University Press Inc
Weight(grams) 762g
Dimensions(mm) 165mm * 239mm * 32mm