Statistical Analysis of Epidemiologic Data

Statistical Analysis of Epidemiologic Data
Author :
Publisher : Oxford University Press, USA
Total Pages : 494
Release :
ISBN-10 : UOM:49015002334978
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Statistical Analysis of Epidemiologic Data by : S. Selvin

Download or read book Statistical Analysis of Epidemiologic Data written by S. Selvin and published by Oxford University Press, USA. This book was released on 1996 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines applied and theoretical approaches to the analysis of epidemiologic issues. It goes beyond elementary material to deal with real problems generated by disease data, and delves into less usual areas such as the analysis of spatial distributions, survival data, proportional hazards regression, and "computer-intensive" approaches to statistical estimation. Each method discussed in the text is illustrated with examples which include complete sets of data. Using actual data demonstrates the strengths and weaknesses of different analytic approaches in describing a disease process. The goal of the book is to allow the reader to develop a clear understanding of analytic approaches to problems in epidemiologic data analysis without relying on sophisticated mathematics and advanced statistical theory. For the Second Edition a new chapter on the analysis of matched data has been added. This covers both discrete and continuous outcomes and explains both the classic analytic approach and the conditional logistic regression model. New sections have also been added on contingency table data, misclassification, and additive models underlying tabular data. In all the chapters there are new applications and other revisions that make this Second Edition a clearer and more helpful exposition of the way statistical tools are used to analyze epidemiologic data.


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For more information about the book, and to download STATA outputs for the case studies presented in each chapter, please visit www.oup.com/us/statisticaltools.