Biostatistics for epidemiology and public health using R / Bertram K.C. Chan, PhD, PE.

Includes bibliographical references and index.

Research and design in epidemiology and public health -- Data analysis using R programming -- Graphics using R -- Probability and statistics in biostatistics -- Case-control studies and cohort studies in epidemiology -- Randomized trials, phase development, confounding in survival analysis, and logistic regressions.

The book is systematically organized into seven chapters, each with a number of main sections covering the spectrum of applicable R codes for biostatistical applications in epidemiology and public health. Chapters 1 and 2 introduce interactional relationships among medicine, preventive medicine, public health, epidemiology, and biostatistics in general, as well as special concepts that have been (and are being) developed to address quantitative problems in epidemiology and public health in particular. A review of the basic elements in the theory of probability is presented to introduce or reinforce readers' ability to handle this important basic concept. Chapter 3 covers simple data handling using R programming, while Chapter 4 presents the graphics capabilities available in R. Following these initial forays into R, Chapter 5 gives an overview of the theory of probability and mathematical statistics, which is necessary because both of these areas have become integral parts of biostatistical applications in epidemiology. Chapter 6 shows how R may be effectively used to handle classical problems in case-control studies and cohort investigations in epidemiology. Similarly, survival analysis, the backbone of much epidemilogic research, finds excellent support in the R environment, as outlined in Chapter 7.