Biostatistics All-in-One: Theory, Application, and Code

Biostatistics is where careful reasoning about data meets the realities of biology and medicine-and where a single misread p-value can derail a study. Biostatistics All-in-One is a comprehensive, self-contained reference that takes you from first principles to the methods behind modern clinical and life-science research, always keeping theory, application, and code side by side.Across 46 chapters and 7 appendices, the book builds a complete path: descriptive statistics and visualization; the logic of hypothesis testing; comparing means, proportions, and distributions; nonparametric methods; ANOVA, correlation, and regression; generalized linear and logistic models; survival analysis; probability and Bayesian thinking; matched and conditional designs; the design of clinical trials (including basket, umbrella, and platform studies); and an on-ramp to computationally intensive tools such as the bootstrap, MCMC, and regularized regression.What sets this book apart is that every methods chapter carries out the same analysis three ways-in R, SAS, and SPSS-so you can read across languages, reproduce every result, and work in whichever environment your lab, clinic, or journal expects. All datasets are original, and every formula, figure, and code listing has been actually computed and verified rather than merely asserted.Written for graduate students, researchers, clinicians, and practicing biostatisticians, it works equally well as a course companion, a self-study guide, and a desk reference for when a real analysis lands on your desk. Extensive appendices add distribution tables, a cross-package command reference for R, SAS, and SPSS, a catalog of the book's datasets, and a glossary.From the first histogram to a survival curve or a Bayesian estimate, Biostatistics All-in-One puts the concept, the application, and the code on the page together-every time.

Pagina's: 518, Paperback, Jiazheng Chen