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Munro's Statistical Methods for Health Care Research by Stacey Plitcha Kellar and Elizabeth A. Kelvin

Material type: TextTextPublication details: Philadelphia; Wolters Kluwer| Lippincott Williams & Wilkins 2013Edition: 6th edDescription: 563p. ill. 23cmISBN:
  • 9781451187946
  • 141187947
Subject(s): LOC classification:
  • RT81.5  .M86 2013
Contents:
Using research and statistics in health care -- Descriptive statistics : getting to know the data -- Key principles of statistical inference -- Hypothesis testing with inferential statistics -- Measuring the differences between the means two unrelated group means : independent t-tests and Mann-Whitney U-tests -- Measuring the differences between the means of two related groups : paired t-tests and Wilcoxon Matched Pairs tests -- Measuring the differences between the means of three or more unrelated groups : one way ANOVAS and the Kruskal-Wallis H-tests -- Differences among the means of three or more unrelated groups defined by two or more independent variables : N-way ANOVA -- Comparing the means of three or more related groups : repeated measures ANOVA and Friedman's ANOVA by rank -- Analysis of covariance (ANCOVA) -- Measuring the association of two variables : Pearson and Spearman correlation -- Examining cross tabulations : the Chi-square statistic and the McNemar test -- Logistic regression -- Linear regression and regression diagnostics -- Factor analysis -- Path analysis -- Structural equation modeling -- Writing for presentation and publication.
Item type: Research Collection List(s) this item appears in: Research and statstics | Statistics
Holdings
Current library Collection Call number Vol info Status Date due Barcode
Judith Thomas Library Judith Thomas Library Research Section JTL Research Collection RT 81.5 .M86 2013 (Browse shelf(Opens below)) AUA016990 Available AUA016990

Revised edition of: Statistical methods for health care research / Barbara Hazard Munro. 5th ed. c2005.

Using research and statistics in health care --
Descriptive statistics : getting to know the data --
Key principles of statistical inference --
Hypothesis testing with inferential statistics --
Measuring the differences between the means two unrelated group means : independent t-tests and Mann-Whitney U-tests --
Measuring the differences between the means of two related groups : paired t-tests and Wilcoxon Matched Pairs tests --
Measuring the differences between the means of three or more unrelated groups : one way ANOVAS and the Kruskal-Wallis H-tests --
Differences among the means of three or more unrelated groups defined by two or more independent variables : N-way ANOVA --
Comparing the means of three or more related groups : repeated measures ANOVA and Friedman's ANOVA by rank --
Analysis of covariance (ANCOVA) --
Measuring the association of two variables : Pearson and Spearman correlation --
Examining cross tabulations : the Chi-square statistic and the McNemar test --
Logistic regression --
Linear regression and regression diagnostics --
Factor analysis --
Path analysis --
Structural equation modeling --
Writing for presentation and publication.