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Medical statistics : a textbook for the health sciences / Stephen J. Walters, Michael J. Campbell, David Machin.

By: Contributor(s): Material type: TextTextPublication details: United Kingdom: John Wiley & Sons Ltd, 2021Edition: 5th edDescription: p. ill. : cmISBN:
  • 9781119423645
Subject(s): Additional physical formats: Online version:: Medical statisticsDDC classification:
  • 610.727 23 W2351m
Contents:
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.
Summary: "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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Holdings
Item type Current library Call number Vol info Copy number Status Date due Barcode Item holds
Books Books Library, Independent University, Bangladesh (IUB) Pharmacy Corner 610.727 W2351m (Browse shelf(Opens below)) 2021 01 Not For Loan 028333
Total holds: 0

Michael J. Campbell's name appears first in earlier editions.

Includes bibliographical references and index.

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.

"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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