Biostatistics for Epidemiologists is a unique book that provides a collection of methods that can be used to analyze data in most epidemiological studies. It examines the theoretical background of the methods described and discusses general principles that apply to the analysis of epidemiological data. Specific topics addressed include statistical interference in epidemiological research, important methods used for analyzing epidemiological data, multivariate models, dose-response analysis, analysis of the interaction between causes of disease, meta-analysis, and computer programs. Biostatistics for Epidemiologists will be a useful guide for all epidemiologists and public health professionals who rely on biostatistical data in their work.
Table of Contents
Introduction. Probability Theory. Statistical Inference. The P-Value, the P-Value Function and the Confidence Interval. Some Common Methods: Descriptive Epidemiologic Measures. Measures of Effect for Crude Analysis. Measures of Effect in Stratified Analysis. Miscellaneous: Multivariate Methods. Analysis of Effect Modification and Synergism. Several Exposure Levels. Meta Analysis. Computer Programmes. References. Appendices. Index.