Introductory Biostatistics, Second Edition

Maintaining the same accessible and hands-on presentation as its predecessor, "Introductory Biostatistics, Second Edition" continues to provide a problem-based approach to basic statistical concepts that are commonly applied in research across the health sciences. The addition of a coauthor, incorporation of R software throughout, and coverage of newly-added topics and examples all ensure that this new edition provides a modern and firm foundation in biostatistics for readers and students in the biomedical and public health fields. The book begins with an overview of statistics in the health sciences and a discussion of rates and proportions. Subsequent chapters present descriptive methods, probability models, and parameter estimation, and hypothesis testing. The second half of the book treats more advanced topics, with coverage of regression analysis, logistic regression, and methods for count data, and analysis of survival data, and designs for clinical trials. Two new chapters feature coverage of the use of Analysis of Variance (ANOVA) techniques in experimental design as well as the testing and inference methods for repeatedly measured outcomes, including binary, and count outcomes. Throughout the book, real data sets from the fields of are provided in the form of examples and exercises that illustrate how to apply the discussed statistical procedures. Most chapters conclude with a "Notes on Computations" section that supplies readers with sample SAS and R codes along with insight on the fundamentals for working with these software programs. All chapters conclude with a set of exercises with partial solutions at the end of the book, and a related Web site houses the presented data sets.