Statistical Analysis of Epidemiologic Data

Selvin, Steve

ISBN 10: 0195172809 / ISBN 13: 9780195172805

Published by Oxford University Press Inc, 2004

About this Item

This popular intermediate-level text continues to focus sharply on clear and practical descriptions of statistical methods for analysing epidemiological data. Thoroughly revised throughout, the third edition includes a new chapter on Poisson regression analysis, along with many new applied examples and many fresh discussions of key analytic issues. Series: Monographs in Epidemiology & Biostatistics. Num Pages: 512 pages, numerous line drawings and tables. BIC Classification: MBN; PBT. Category: (P) Professional & Vocational. Dimension: 242 x 162 x 32. Weight in Grams: 847. . 2004. 3 Rev ed. Hardback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780195172805

Bibliographic Details

• Title: Statistical Analysis of Epidemiologic Data
• Publisher: Oxford University Press Inc
• Publication Date: 2004
• Language: English
• ISBN 10: 0195172809
• ISBN 13: 9780195172805
• Binding: Hardcover
• Edition: 3rd Edition
• Condition: New

About this title

Synopsis

Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature. Explanations of their properties are frequently presented in mathematical and theoretical language. This well-established text gives readers a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory. By applying these methods to actual data, Selvin reveals the strengths and weaknesses of each analytic approach. He combines techniques from the fields of statistics, biostatistics, demography and epidemiology to present a comprehensive overview that does not require computational details of the statistical techniques described.
For the Third Edition, Selvin took out some old material (e.g. the section on rarely used cross-over designs) and added new material (e.g. sections on frequently used contingency table analysis). Throughout the text he enriched existing discussions with new elements, including the analysis of multi-level categorical data and simple, intuitive arguments that exponential survival times cause the hazard function to be constant. He added a dozen new applied examples to illustrate such topics as the pitfalls of proportional mortality data, the analysis of matched pair categorical data, and the age-adjustment of mortality rates based on statistical models. The most important new feature is a chapter on Poisson regression analysis. This essential statistical tool permits the multivariable analysis of rates, probabilities and counts.

About the Author

Steve Selvin is at University of California, Berkeley.