Medical Statistics A TEXTBOOK FOR THE HEALTH SCIENCES

Medical Statistics A TEXTBOOK FOR THE HEALTH SCIENCES

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The fifth edition of this popular textbook provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook...

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Bibliographic Details
Main Authors: Walters, Stephen J. (Author), Campbell, Michael J. (Author), Machin, David (Author)
Format: Book
Language:English
Published: Hoboken, NJ John Wiley 2021
Edition:FIFTH EDITION
Subjects:
Medical statistics
Medicine > Research Statistical methods
Online Access:Click Here to View Status and Holdings.
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505 0 # |a Uses and abuses of medical statistics -- Displaying and summarising data -- Summary measures for binary data -- Probability and distributions -- Populations, samples, standard errors and confidence intervals -- Hypothesis testing, p-values and statistical inference -- Comparing two or more groups with continuously measured data -- Comparing groups of binary and categorical data -- Correlation and linear regression -- Logistic regression -- Survival analysis -- Reliability and method comparison studies -- Evaluation of diagnostic tests -- Observational studies -- The randomised controlled trial -- Sample size issues -- Other statistical methods -- Meta-analysis -- Common mistakes and pitfalls. 
520 # # |a The fifth edition of this popular textbook provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, 5th Edition: Assumes no prior knowledge of statistics. Covers all essential statistical methods. Completely revised, updated and expanded. Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals. Includes a companion website with downloadable data, new separate chapters on topics such as logistic regression; diagnostic tests; assessing the quality of statistics/reading the statistics in a scientific paper and other statistical methods (such as meta-analysis; the bootstrap; imputation of missing data and summary measures for analysing longitudinal data) and additional sections on designs such as pilot/feasibility studies; cluster and stepped wedge randomised controlled trials 
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