Munro's Statistical Methods for Health Care Research

ISBN-10: 1451187947
ISBN-13: 9781451187946
Edition: 6th 2013 (Revised)
List price: $85.99 Buy it from $36.76
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Description: 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  More...

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Book details

List price: $85.99
Edition: 6th
Copyright year: 2013
Publisher: Lippincott Williams & Wilkins
Publication date: 9/6/2012
Binding: Paperback
Pages: 544
Size: 7.25" wide x 9.00" long x 1.50" tall
Weight: 2.134
Language: English

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.

Obtaining and Understanding Data
Using Research and Statistics in Health Care
Descriptive Statistics: Getting to Know the Data
Key Principles of Statistical Inference
Hypothesis Testing with Inferential Statistics
Analyzing the Data
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
Model Building and Presentation
Logistic Regression
Linear Regression and Regression Diagnostic
Factor Analysis
Path Analysis
Structural Equation Modeling
Writing for Presentation and Publication
Appendices and other end of book items
Glossary
Entering Data into SPSS
Percent of Total Area of Normal Curve Between a z-score and the Mean
Distribution of t
Critical Values of the U-statistic
Critical Values of the Wilcoxon Signed-Rank Statistic
The 5% and 1% Points for the Distribution of F
Critical Values of H for the Kruskal-Wallis ANOVA by Rank
Critical Values of Dunn's Q for Nonparametric Multiple Comparison Testing
Exact Distribution of the Friedman's �2 for the Friedman'Xs ANOVA by Rank Comparing Three Related Groups
Critical Values of the Pearson Correlation Coefficient
Critical Value of the Spearman Correlation Coefficient
Distribution of �2 Probability
Bibliography
Index

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