Statistical Analysis of Epidemiologic Data

ISBN-10: 0195172809
ISBN-13: 9780195172805
Edition: 3rd 2004 (Revised)
Authors: Steve Selvin
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Description: 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  More...

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Book details

List price: $73.00
Edition: 3rd
Copyright year: 2004
Publisher: Oxford University Press, Incorporated
Publication date: 5/13/2004
Binding: Hardcover
Pages: 512
Size: 6.50" wide x 9.25" long x 1.25" tall
Weight: 1.848
Language: English

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, Selvinreveals 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 thepitfalls 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 multivariableanalysis of rates, probabilities and counts.

Edwin B. Parker Professor of Foreign and Comparative Law at Columbia Law School, Professor at the University of Neuch�tel, and a member of the Centre for Economic Policy Research.Steve Selvin is Professor of Biostatistics and Epidemiology at the University of California, Berkeley. He has taught on the Berkeley campus for 35 years and has authored or co-authored more than 200 scientific articles in the areas of applied statistics and epidemiology. He has received two university teaching awards and is a member of the ASPH/Pfizer Public Health Academy of Distinguished Teachers.

Meaures of Risk: Rates and Probabilities
Variation and Bias
Statistical Power and Sample Size Calculations
Cohort Data: Description and Illustration
Spatial Data: Analysis and Estimation
The 2x2 Table and the 2x2x2 Table
The Analysis of Contingency Table Data: Logistic Model I
The Analysis of Binary Data: Logistic Model II
The Analysis of Count Data: Poisson Model
The Analysis of Matched Data: Three Approaches
Life Table Analysis: An Introduction
Survival Data: Estimation of Risk
Survival Data: Proportional Hazard Model
Appendices
Description of the WCGS data set
Binomial and Poisson distributions
The odds ratio and its properties
Partitioning the chi-square statistic
Maximum likelihood estimation and likelihood functions
Problems

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