{"product_id":"bayesian-thinking-in-biostatistics-9781439800089","title":"Bayesian Thinking in Biostatistics","description":"\u003cp\u003e • Author(s): Gary L Rosner\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - Bayesian Analysis\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003ePraise for \u003ci\u003eBayesian Thinking in Biostatistics: \u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"This thoroughly modern Bayesian book ...is a 'must have' as a textbook or a reference volume. Rosner, Laud and Johnson make the case for Bayesian approaches by melding clear exposition on methodology with serious attention to a broad array of illuminating applications. These are activated by excellent coverage of computing methods and provision of code. Their content on model assessment, robustness, data-analytic approaches and predictive assessments...are essential to valid practice. The numerous exercises and professional advice make the book ideal as a text for an intermediate-level course...\" \u003c\/p\u003e\u003cp\u003e-\u003cstrong\u003eThomas Louis\u003c\/strong\u003e, Johns Hopkins University\u003c\/p\u003e\u003cp\u003e\"The book introduces all the important topics that one would usually cover in a beginning graduate level class on Bayesian biostatistics. The careful introduction of the Bayesian viewpoint and the mechanics of implementing Bayesian inference in the early chapters makes it a complete self- contained introduction to Bayesian inference for biomedical problems....Another great feature for using this book as a textbook is the inclusion of extensive problem sets, going well beyond construed and simple problems. Many exercises consider real data and studies, providing very useful examples in addition to serving as problems.\"\u003c\/p\u003e\u003cp\u003e- \u003cstrong\u003ePeter Mueller\u003c\/strong\u003e, University of Texas\u003c\/p\u003e\u003cp\u003eWith a focus on incorporating sensible prior distributions and discussions on many recent developments in Bayesian methodologies, \u003cstrong\u003eBayesian Thinking in Biostatistics\u003c\/strong\u003e considers statistical issues in biomedical research. The book emphasizes greater collaboration between biostatisticians and biomedical researchers. The text includes an overview of Bayesian statistics, a discussion of many of the methods biostatisticians frequently use, such as rates and proportions, regression models, clinical trial design, and methods for evaluating diagnostic tests.\u003c\/p\u003e\u003cp\u003eKey Features\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eApplies a Bayesian perspective to applications in biomedical science\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eHighlights advances in clinical trial design\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eGoes beyond standard statistical models in the book by introducing Bayesian nonparametric methods and illustrating their uses in data analysis\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eEmphasizes estimation of biomedically relevant quantities and assessment of the uncertainty in this estimation\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eProvides programs in the BUGS language, with variants for JAGS and Stan, that one can use or adapt for one's own research\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe intended audience includes graduate students in biostatistics, epidemiology, and biomedical researchers, in general\u003c\/p\u003e\u003cp\u003eAuthors\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGary L. Rosner\u003c\/strong\u003e is the Eli Kennerly Marshall, Jr., Professor of Oncology at the Johns Hopkins School of Medicine and Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurushottam (Prakash) W. Laud\u003c\/strong\u003e is Professor in the Division of Biostatistics, and Director of the Biostatistics Shared Resource for the Cancer Center, at the Medical College of Wisconsin. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWesley O. Johnson\u003c\/strong\u003e is professor Emeritus in the Department of Statistics as the University of California, Irvine. \u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45240865128599,"sku":"9781439800089","price":10474.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781439800089.webp?v=1769226848","url":"https:\/\/atlanticbooks.com\/products\/bayesian-thinking-in-biostatistics-9781439800089","provider":"Atlantic Books","version":"1.0","type":"link"}