# Munro's Statistical Methods for Health Care Research / Edition 6

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.

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## Overview

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.

## Product Details

ISBN-13:
9781451187946
Publisher:
Lippincott Williams & Wilkins
Publication date:
09/06/2012
Edition description:
Revised Reprint
Pages:
576
Sales rank:
109,613
Product dimensions:
7.00(w) x 8.90(h) x 1.30(d)

Section 1: Obtaining and Understanding Data

Chapter 1: Using Research and Statistics in Health Care

Chapter 2: Descriptive Statistics: Getting to Know the Data

Chapter 3: Key Principles of Statistical Inference

Chapter 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-tests

Chapter 6: Measuring the Differences Between the Means of Two Related Groups: Paired t-tests and Wilcoxon Matched Pairs tests

Chapter 7: Measuring the Differences Between the Means of Three or More Unrelated Groups: One -Way ANOVAs and the Kruskal-Wallis H-tests

Chapter 8: Differences Among the Means of Three or More Unrelated Groups Defined by Two or More Independent Variables: N-Way ANOVA

Chapter 9: Comparing the Means of Three or More Related Groups: Repeated Measures ANOVA and Friedman's ANOVA by Rank

Chapter 10: Analysis of Covariance (ANCOVA)

Chapter 11: Measuring the Association of two Variables: Pearson and Spearman Correlation

Chapter 12: Examining Cross tabulations: The Chi-square Statistic and The McNemar Test

Section 3: Model Building and Presentation

Chapter 13: Logistic Regression

Chapter 14: Linear Regression and Regression Diagnostic

Chapter 15: Factor Analysis

Chapter 16: Path Analysis

Chapter 17: Structural Equation Modeling

Chapter 18: Writing for Presentation and Publication

Appendices and other end of book items

Glossary

Appendix A: Entering Data into SPSS
Appendix B: Percent of Total Area of Normal Curve Between a z-score and the Mean
Appendix C: Distribution of t
Appendix D: Critical Values of the U-statistic
Appendix E: Critical Values of the Wilcoxon Signed-Rank Statistic
Appendix F: The 5% and 1% Points for the Distribution of F
Appendix G: Critical Values of H for the Kruskal-Wallis ANOVA by Rank
Appendix H: Critical Values of Dunn's Q for Nonparametric Multiple Comparison Testing
Appendix I: Exact Distribution of the Friedman's χ2 for the Friedman'Xs ANOVA by Rank Comparing Three Related Groups
Appendix J: Critical Values of the Pearson Correlation Coefficient
Appendix K: Critical Value of the Spearman Correlation Coefficient
Appendix L: Distribution of χ2 Probability

Bibliography

Index