Synopses & Reviews
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.
Review
Praise for the First Edition" "For practical examples, and for interpretation of the parameters of logistic-regression and survival analyis, this is a very good book" --New England Journal of Medicine
"The text emphasizes the analysis of continuous data within epidemiology, a subject usually not described in very much detail in other epidemiology texts. This book therefore brings closer together the analysis of continuous data within an epidemiological context. This is a well written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an intermediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis." Epidemiology Monitor
"Oxford University Press must be commended for adding this excellent textbook as number 17 in its series of Monographs in Epidemiology and Biostatistics. Equally, its author must be congratulated on an outstanding readable and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide; our thanks to the author for allowing us to share the fruits of his teaching skills." International Journal of Health Sciences
"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data. A book I will be pleased to own. Selvin has selected his topics carefully, has given a clear exposition of the methods and their application, and has illustrated them with numerous examples....A valuable addition to the professional statisticians'/epidemiologists' library." --Journal of the American Statistical Association
Synopsis
This text 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 book's goal is to develop a clear understanding of analytic approaches to problems in epidemiological data analysis without relying on sophisticated mathematics and advanced statistical theory. Individuals with some background in epidemiology and statistics will find this a useful volume in the study of epidemiological analysis.
Description
Includes bibliographical references (p. 453-459) and index.
Table of Contents
1. Measures of Risk: Rates and Probabilities
2. Variation and Bias
3. Statistical Power and Sample Size Calculations
4. Cohort Data: Description and Illustration
5. Clustering: Space and Time Data
6. The Two x K Table and the Two x Two Table
7. The Analysis of Contingency Table Data: Logistic Model I
8. The Analysis of Binary Data: Logistic Model II
9. The Analysis of Matched Data
10. Life Tables: An Introduction
11. Estimates of Risk from follow-up Data
12. A Model for Survival Data: Proportional Hazards Model