Medical statistics from scratch [electronic book] : an introduction for health professionals / David Bowers.
By: Bowers, David [author]
.
Material type: 
BookPublisher: Hoboken NJ : Wiley Blackwell ; John Wiley & Sons, 2020Copyright date: ©2020Edition: Fourth edition.Description: Online resource (467 pages) : illustrations (some color).Content type: text Media type: computer Carrier type: online resourceISBN: 9781119523888 (paperback); 9781119523925 (e-book).Subject(s): Biometry | Medical statistics | Medicine -- Research -- Statistical methodsDDC classification: 610.727 Online resources: Access eBook | Item type | Current library | Call number | Status | Notes | |
|---|---|---|---|---|---|
| eBook | MTU Online eBook | 610.727 (Browse shelf(Opens below)) | Available | CIT Module STAT 6013 - Core reading. |
Enhanced descriptions from Syndetics:
Correctly understanding and using medical statistics is a key skill for all medical students and health professionals.
In an informal and friendly style, Medical Statistics from Scratch provides a practical foundation for everyone whose first interest is probably not medical statistics. Keeping the level of mathematics to a minimum, it clearly illustrates statistical concepts and practice with numerous real-world examples and cases drawn from current medical literature.
Medical Statistics from Scratch is an ideal learning partner for all medical students and health professionals needing an accessible introduction, or a friendly refresher, to the fundamentals of medical statistics.
Includes bibliographical references and index.
Some fundamental stuff -- Descriptive statistics -- The confounding problem -- Design and data -- Chance would be a fine thing
-- The informed guess – An introduction to confidence intervals -- Putting it to the test -- Becoming acquainted -- Getting into a relationship -- Four more chapters.
CIT Module STAT 6013 - Core reading.
Electronic reproduction.: ProQuest LibCentral. Mode of access: World Wide Web.
Description based on print version record and CIP data provided by publisher.
Author notes provided by Syndetics
DAVID BOWERS, Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.