大葉大學圖書館 |

Making sense of medical statistics[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	610.21
書名/作者:	Making sense of medical statistics/ Munier Hossain, MBBS, FRCSGlag, FRCSG (Tr & Orth), PGCE, MSc (Orth Eng), MSc (Oxon), FHEA, Consultant Orthopaedic Surgeon, United Lincolnshire Hospitals NHS Trust ; illustrations and formatting by Inda Zubir B.Sc (Hons), M.Arch, RIBA III.
作者:	Hossain, Munier.
出版者:	Cambridge : : Cambridge University Press,, 2021.
面頁冊數:	xi, 188 p. : : ill., digital ;; 24 cm.
附註:	Title from publisher's bibliographic system (viewed on 30 Sep 2021).
標題:	Medical statistics.
ISBN:	9781108973663
ISBN:	9781108978156
摘要、提要註:	Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.
電子資源:	https://doi.org/10.1017/9781108973663

Making sense of medical statistics[electronic resource] /
Hossain, Munier.

Making sense of medical statistics[electronic resource] /Munier Hossain, MBBS, FRCSGlag, FRCSG (Tr & Orth), PGCE, MSc (Orth Eng), MSc (Oxon), FHEA, Consultant Orthopaedic Surgeon, United Lincolnshire Hospitals NHS Trust ; illustrations and formatting by Inda Zubir B.Sc (Hons), M.Arch, RIBA III. - Cambridge :Cambridge University Press,2021. - xi, 188 p. :ill., digital ;24 cm. - Cambridge medicine. - Cambridge medicine (Series).

Title from publisher's bibliographic system (viewed on 30 Sep 2021).

Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.

ISBN: 9781108973663Subjects--Topical Terms:

337786
Medical statistics.

LC Class. No.: RA407 / .H76 2021

Dewey Class. No.: 610.21

National Library of Medicine Call No.: WA 950

Making sense of medical statistics[electronic resource] /
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520 $a Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.
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