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Using and understanding medical statistics / David E. Matthews, Vernon T. Farewell.

By: Contributor(s): Material type: TextPublication details: Basel ;;New York : Karger, 2007Edition: 4th, completely rev. and enl. edDescription: xx, 322 p. : ill. 24 cmISBN:
  • 9783805581899 ;3805581890
Subject(s): NLM classification:
  • WA 950
Contents:
Basic concepts -- Tests of significance -- Fisher's test for 2 x 2 contingency tables -- Approximate significance tests for contingency tables -- Some warnings concerning 2 x 2 tables -- Kaplan-Meier or 'actuarial' survival curves -- The log-rank or Mantel-Haenszel test for the comparison of survival curves --An introduction to the normal distribution -- Analyzing normally distributed data -- Linear regression models for medical data -- Binary logistic regression -- Regression models for count data -- Proportional hazards regression -- The analysis of longitudinal data -- Analysis of variance -- Data analysis -- The question of sample size -- The design of clinical trials -- Further comments regarding clinical trials -- Meta-analysis -- Epidemiological applications -- Diagnostic tests -- Agreement and reliability.
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Holdings
Item type Current library Home library Call number Status Barcode
Books Dow International Medical College Dow International Medical College WA 950 .M38 2007 (Browse shelf(Opens below)) Available 00003528

Includes bibliographical references (p. [310]-313) and index.

Basic concepts -- Tests of significance -- Fisher's test for 2 x 2 contingency tables -- Approximate significance tests for contingency tables -- Some warnings concerning 2 x 2 tables -- Kaplan-Meier or 'actuarial' survival curves -- The log-rank or Mantel-Haenszel test for the comparison of survival curves --An introduction to the normal distribution -- Analyzing normally distributed data -- Linear regression models for medical data -- Binary logistic regression -- Regression models for count data -- Proportional hazards regression -- The analysis of longitudinal data -- Analysis of variance -- Data analysis -- The question of sample size -- The design of clinical trials -- Further comments regarding clinical trials -- Meta-analysis -- Epidemiological applications -- Diagnostic tests -- Agreement and reliability.

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