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Munro's Statistical Methods for Health Care Research

Munro's Statistical Methods for Health Care Research

9781451187946
470,33 zł
399,78 zł Zniżka 70,55 zł Brutto
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Opis
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 todays 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.
Szczegóły produktu
Wolters Kluwer Health
52918
9781451187946
9781451187946

Opis

Rok wydania
2012
Numer wydania
6
Oprawa
miękka foliowana
Liczba stron
576
Wymiary (mm)
177.80 x 228.60
Waga (g)
771
  • 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 Friedmans 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 Dunns Q for Nonparametric Multiple Comparison Testing
    Appendix I: Exact Distribution of the Friedmans ?2 for the FriedmanXs 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 ?2 Probability
    Bibliography
    Index
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