Biostatistics for Epidemiologists, Second Edition

This popular textbook examines the theoretical background of biostatistics methods without excessive mathematical details and discusses general principles that apply to the analysis of epidemiological data. It addresses statistical inference, dose-response analysis, analysis of the interaction between causes of disease, and meta-analysis. This second edition includes a new chapter on regression models, covering logistic regression, Poisson regression, structural equation models, generalized estimating equation, and other methods. It also contains new material on Bayesian analysis and false positive problems, along with additional exercises and examples.