Kellar / Kelvin | Munro's Statistical Methods for Health Care Research | Buch | 978-1-4511-8794-6 | sack.de

Buch, Englisch, 576 Seiten, Format (B × H): 178 mm x 229 mm, Gewicht: 771 g

Kellar / Kelvin

Munro's Statistical Methods for Health Care Research


Buch, Englisch, 576 Seiten, Format (B × H): 178 mm x 229 mm, Gewicht: 771 g

ISBN: 978-1-4511-8794-6
Verlag: Lippincott Williams and Wilkins

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.
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Autoren/Hrsg.

Kellar, Stacey Plichta
Kelvin, Elizabeth

Fachgebiete

Weitere Infos & Material

Section 1: Obtaining and Understanding Data Chapter 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 Statistics Section 2: Analyzing the Data Chapter 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 Regression

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