Study Guide To Epidemiology And Biostatistics

Epidemiology/Biostatistics

Comprehensive guide to basic principles of epidemiology and biostatistics. Concise study notes and exercises are included. Emphasis is on application. This edition includes a revised chapter on the appraisal of epidemiological studies, a new section on meta-analysis, and more.

Help your students understand some of the most elusive fundamentals of epidemiology and biostatistics with this fully updated revision of the bestselling Study Guide to Epidemiology and Biostatistics. The Seventh Edition offers expanded chapters as well as coverage of new topics that have become prevalent in the medical literature such as: receiver-operator curve analysis to improve sensitivity/specificity; the power of a statistical test; one-tailed P values; comparison-wise significance levels versus study-wise significance levels; confidence interval and its relationship to statistical significance; meta-analysis with current methods for assessing heterogeneity and the potential for publication bias; and the use of propensity scoring to reduce bias in non-experimental studies. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.

Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-by-step approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. Also included are an instructor's guide, student solutions manual, and downloadable data sets. Key Features: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes instructor's guide, student solutions manual, and downloadable data sets.

In the nearly three years since the publication of the ActivEpi companion text, the authors received several suggestions to produce an abbreviated version that narrows the discussion to the most "essential" principals and methods. A Pocket Guide to Epidemiology contains less than half as many pages as the ActivEpi Companion Text and is a stand-alone introductory text on the basic principals and concepts of epidemiology.