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Statistical Methods in Epidemiology


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Table of Contents

1: Review of Selected Elementary Statistics 2: Random Sampling 3: Relative Risk and Odds Ratio 4: Attributable Risk 5: Adjustment of Data Without Use of Multivariate Models 6: Adjustment of Data Using Multivariate Models 7: Follow-Up Studies: Life Tables 8: Follow-Up Studies: Person Years 9: Comparison of Numerical Results for Various Methods of Adjustment 10: The Primacy of Data Collection

About the Author

Harold A. Kahn is Visiting Professor of Epidemiology, John Hopkins University. Christopher T. Sempos is an epidemiologist at the National Center for Health Statistics.


From reviews of An Introduction to Epidemiologic Methods: "Rarely does one find a new book in epidemiology or statistics which genuinely fills a gap in the literature. What makes this volume such a marvelous discovery is that it summarizes many of the essentials of epidemiological statistics that were previously described only in journal articles or more mathematical texts. Accordingly, any unit concerned with teaching or research in statistical epidemiology should find this book's clear and concise style a valuable aid to their activities." --The Lancet "At last! A text for introductory epidemiology courses which is neither too elementary not too advanced. It covers essential epidemiological topics in a very practical, biostatistical way. It fills a real need for a biostatistically oriented text for non-biostatisticians, and will complement nicely any of the less methodological introductory texts in epidemiology." --Epidemiology Monitor "Both concise and readable.... Does a good job of summarizing the various statistical methods used for analyzing epidemiological studies. There is much statistical information in this text which is useful and attractively written, making it a useful reference text." --International Journal of Epidemiology "This book provides excellent coverage at a level ideally suited to a first course in statistical methods for epidemiologists."--Jesse A. Berlin, University of Pennsylvania, School of Medicine

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