Epidemiology: Study Design and Data Analysis, Second Edition covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, several models for diagnostics, and design issues. This edition incorporates 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 this an ideal textbook that is comprehensive yet accessible to graduate students in epidemiology, statistics, public health studies, and/or medical research.