{"product_id":"biostatistics-all-in-one-theory-application-and-code-paperback","title":"Biostatistics All-in-One: Theory, Application, and Code - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJiazheng Chen\u003c\/b\u003e (Author), \u003cb\u003eJiazheng Chen\u003c\/b\u003e (Editor), \u003cb\u003eJiazheng Chen\u003c\/b\u003e (Cover Design by)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTheory, application, and code-together on every page.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBiostatistics rewards those who grasp not just \u003cem\u003ewhich\u003c\/em\u003e test to run, but \u003cem\u003ewhy\u003c\/em\u003e it works and \u003cem\u003ehow\u003c\/em\u003e to carry it out. \u003cem\u003eBiostatistics All-in-One\u003c\/em\u003e brings all three together in a single volume: the reasoning behind each method, the settings where it matters, and working code you can run today.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSpanning 46 chapters and 7 appendices, the book moves from descriptive statistics and the logic of hypothesis testing through correlation and regression, generalized linear models, survival analysis, probability and Bayesian thinking, resampling, multiple imputation, causal inference, and the design of modern clinical trials-all the way to regularization, multivariate methods, and clustering. Concepts are built from first principles, then put to work on realistic problems, so the ideas stick.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhat sets this book apart is that every method is demonstrated \u003cstrong\u003efour ways-in R, SAS, SPSS, and Stata\u003c\/strong\u003e-using original, fully verified datasets. Whatever software your lab, clinic, or journal expects, you can reproduce every result and carry the analysis over without translation headaches. Chapter 40 and a dedicated appendix map the four packages command-for-command, and the text flags the default-setting differences (reference categories, confidence-interval methods, continuity corrections) that most often make results \"disagree\" across software. Every number in the book is real. The datasets are original, and every formula, figure, and code listing has been computed and checked, so what you read is what you get when you run it.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eInside you will find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEvery method worked four ways, in R, SAS, SPSS, and Stata\u003c\/li\u003e\n\u003cli\u003eOriginal datasets; every formula, figure, and code listing computed and verified\u003c\/li\u003e\n\u003cli\u003eFrom first principles to survival analysis, Bayesian inference, and clinical-trial design\u003c\/li\u003e\n\u003cli\u003eA four-package command guide, distribution tables, worked datasets, and a glossary in the appendices\u003c\/li\u003e\n\u003cli\u003eA recurring focus on the traps-confounding, non-collapsibility, overdispersion, multiple testing, and the difference between statistical and practical significance\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e graduate students in public health, medicine, and the life sciences; researchers and clinicians who analyze their own data; and practicing biostatisticians who want a dependable, code-first desk reference across four software packages. Newcomers will find a clear path from the ground up, while experienced analysts gain a reliable bench companion.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFrom your first histogram to your next survival curve-keep it within reach.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 672\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.35 x 8.5 x 5.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 06, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":54090459382067,"sku":"9781965630556","price":89.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/xhdAmETZPm9781965630556.webp?v=1789606183","url":"https:\/\/www.vysn.com\/en-ca\/products\/biostatistics-all-in-one-theory-application-and-code-paperback","provider":"VYSN","version":"1.0","type":"link"}