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Very useful, because it summarizes many of the essentials of epidemiological statistics that were previously described only in journal articles or more mathematical texts. Informationen zum Autor Harold A. Kahn is Visiting Professor of Epidemiology, John Hopkins University. Christopher T. Sempos is an epidemiologist at the National Center for Health Statistics. Klappentext This book is an expanded version of the Kahn's widely used text, An Introduction to Epidemiologic Methods (Oxford, 1983). It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques. The authors emphasize the extent to which similar results are obtained from different methods, both simple and complex. To this edition they have added a new chapter on "Comparison of Numerical Results for Various Methods of Adjustment" and also one on "The Primacy of Data Collection." New topics include the Kaplan-Meier product-limit method and the Cox proportional hazards model for analysis of time-related outcomes. An appendix of data from the Framingham Heart Study is used to illustrate the application of various analytical methods to an identical set of real data and provides source material for student exercises. The text has been updated throughout. Zusammenfassung This book is based on Kahn's An Introduction to Epidemiological Methods (OUP, 1983). As the title change indicates, its discussion of the statistical concepts and methods that are fundamental to epidemiology has been substantially expanded. New material and two new chapters have been added, as well as an appendix of data from the Framingham Heart Study. Inhaltsverzeichnis Review of selected elementary statistics; Random sampling; Relative risk and odds ratio; Attributable risk; Adjustment of data without use of multivariate models; Adjustment of data using multivariate models; Follow-up studies: life tables; Follow-up studies: person years; Comparison of numerical results for various methods of adjustment; The primacy of data collection....
