Munro's Statistical Methods for Health Care Research

Häftad, Engelska, 2012

Av Stacey Plichta Kellar, Elizabeth Kelvin, CPH Kellar, Stacey Plichta, ScD

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This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.

Produktinformation

Utgivningsdatum2012-09-14
Mått178 x 229 x 30 mm
Vikt771 g
FormatHäftad
SpråkEngelska
Antal sidor576
Upplaga6
FörlagLippincott Williams and Wilkins
ISBN9781451187946

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Omvårdnad inom Medicin
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Section 1: Obtaining and Understanding DataChapter 1: Using Research and Statistics in Health CareChapter 2: Descriptive Statistics: Getting to Know the DataChapter 3: Key Principles of Statistical InferenceChapter 4: Hypothesis Testing with Inferential StatisticsSection 2: Analyzing the DataChapter 5: Measuring the Differences Between the Means Two Unrelated Group Means: Independent t-tests and Mann-Whitney U-testsChapter 6: Measuring the Differences Between the Means of Two Related Groups: Paired t-tests and Wilcoxon Matched Pairs testsChapter 7: Measuring the Differences Between the Means of Three or More Unrelated Groups: One -Way ANOVAs and the Kruskal-Wallis H-testsChapter 8: Differences Among the Means of Three or More Unrelated Groups Defined by Two or More Independent Variables: N-Way ANOVAChapter 9: Comparing the Means of Three or More Related Groups: Repeated Measures ANOVA and Friedman's ANOVA by RankChapter 10: Analysis of Covariance (ANCOVA)Chapter 11: Measuring the Association of two Variables: Pearson and Spearman CorrelationChapter 12: Examining Cross tabulations: The Chi-square Statistic and The McNemar TestSection 3: Model Building and PresentationChapter 13: Logistic RegressionChapter 14: Linear Regression and Regression DiagnosticChapter 15: Factor AnalysisChapter 16: Path AnalysisChapter 17: Structural Equation ModelingChapter 18: Writing for Presentation and PublicationAppendices and other end of book itemsGlossaryAppendix A: Entering Data into SPSSAppendix B: Percent of Total Area of Normal Curve Between a z-score and the MeanAppendix C: Distribution of tAppendix D: Critical Values of the U-statisticAppendix E: Critical Values of the Wilcoxon Signed-Rank StatisticAppendix F: The 5% and 1% Points for the Distribution of FAppendix G: Critical Values of H for the Kruskal-Wallis ANOVA by RankAppendix H: Critical Values of Dunn's Q for Nonparametric Multiple Comparison TestingAppendix I: Exact Distribution of the Friedman's χ2 for the Friedman'Xs ANOVA by Rank Comparing Three Related GroupsAppendix J: Critical Values of the Pearson Correlation CoefficientAppendix K: Critical Value of the Spearman Correlation CoefficientAppendix L: Distribution of χ2 ProbabilityBibliographyIndex