Epidemiologic Analysis: A Case-Oriented Approach

Paperback | June 15, 2001

bySteve Selvin

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Using real data from published sources, this engaging and lucid casebook shows how statistical tools can be used to analyze important epidemiologic issues. Its 18 cases address a variety of interesting research problems from Mendel's classic sweet pea experiments to recent studies of AIDS andexposure to electro-magnetic field radiation. Each includes a data set. The cases are described succinctly and the methods used to analyze them are then discussed in detail. A wide range of statistical and graphical tools are included, from simple mean values to nonparametric bivariate regressionsmoothing techniques. The level of discussion is sophisticated but mathematically simple, affording access to a broad audience interested in using collected data to study human health and disease. The author's focus on describing, interpreting and presenting results will set this book apart fromother texts.

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Using real data from published sources, this engaging and lucid casebook shows how statistical tools can be used to analyze important epidemiologic issues. Its 18 cases address a variety of interesting research problems from Mendel's classic sweet pea experiments to recent studies of AIDS andexposure to electro-magnetic field radiation...

Steve Selvin is at University of California, Berkeley.

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Format:PaperbackDimensions:344 pages, 8.82 × 5.79 × 0.79 inPublished:June 15, 2001Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195144899

ISBN - 13:9780195144895

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Table of Contents

1. Measurement of trend (a 2 by c table)2. Odds Ratio and Relative Risk3. Randomized trial4. BiasPart I: Regression to the MeanPart II: Misclassification5. Goodness-of-fit6. Analysis of a two-way table7. Cluster analysis8. Matched analysis (and case and two controls)9. Multivariable linear regression10. Linear logistic regression11. Part I: Poisson regression (standardized mortality ratio)Part III: Poisson regression (adjusted rates)12. Log-linear model (Poisson model applied to tabular data)13. survival analysis (Cox's proportional hazards model)14. Multivariate comparison of two groups15. Smoothing sequential data16. Nonparametric regression analysisAppendix

Editorial Reviews

International Journal of Epidemiology, December 2002