Discussing techniques used in report writing, models for diagnostics, and design issues, this book covers the spectrum of statistical principles and analytical tools used in epidemiological research. This second edition includes new material on systematic evaluation, meta-analysis, regression dilution, case-cohort studies, case-crossover studies, pooled logistic regression and a companion Web site containing data sets for examples and exercises, SAS and Stata code for examples, a sample size calculator, and a SAS floating absolute risk macro. The author favors the use of basic mathematics and practical methods over complicated mathematical proofs, making the book comprehensive yet accessible.