Methods in Observational Epidemiology
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Perhaps the greatest challenge for the authors in writing this Second Edition was to make some of the modern, frequently used methods of statistical analysis understandable to readers with a limited mathematical or statistical background. Although this book is intended for readers who have had introductory courses in epidemiology and biostatistics, even readers who do not fully comprehend the theory behind some of the techniques should understand the rationale for their use and be able to interpret results when they appear on a computer printout or in the literature. The Second Edition of this widely used text will serve as a practical resource for students and practitioners of epidemiology, public health and biostatistics.
Providing a comprehensive picture of the design, conduct, analysis, and interpretation of non-experimental studies of both infectious and non-infectious diseases, the second edition of this widely used text has been thoroughly updated to take into account the numerous developments in epidemiology over the past decade. Since the first edition was published in 1986, additional sources of data have become available through the increasing use of computerized records for health-related purposes. Also, a better understanding of the uses and limitations of certain epidemiologic concepts has been gained. Modifications of traditional study designs, including nested case-control studies and case-cohort studies, are now more frequently employed. Biological markers of exposure, disease susceptibility, and disease itself are used in many studies, and methods of statistical analysis have been further developed. All of these developments have been considered in writing the Second Edition. The authors cover the full scope of observational studies, describing in detail cohort studies, case-control studies, cross-sectional studies, and epidemic investigation. The use of statistical procedures is described in easy-to-understand terms. Sample size estimation, sampling, measurement, and measurement error are fully discussed. Perhaps the greatest challenge for the authors in writing this Second Edition was to make some of the modern, frequently used methods of statistical analysis understandable to readers with a limited mathematical or statistical background. Although this book is intended for readers who have had introductory courses in epidemiology and biostatistics, even readers who do not fullycomprehend the theory behind some of the techniques should understand the rationale for their use and be able to interpret results when they appear on a computer printout or in the literature. The Second Edition of this widely used text will serve as a practical resource for students and practitioners of epidemiology, public health, and biostatistics.
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