基本説明
さまざまな統計手法を用いた臨床研究論文を鵜呑みにすることなく批判的に読める素地を養うことを目指した指南書。邦訳・4-89592-392-4 メディカル・サイエンス・インタ－ナショナ・2005年出版。
Full Description
PDQ Statistics, Third Edition offers an expert overview of all major statistical methods, giving the reader a thorough understanding of statistics and how they are used in research articles.
The book covers the major categories - variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples.
This third edition includes new chapters on hierarchical and logistic regression, path analysis, and structural equation modeling. PDQ Statistics, Third Edition also helps the reader identify those statistical analyses with basic flaws in design or research.The book's attractive design and humorous writing style make the subject matter accessible and engaging.
Contents
Part One Variables and Descriptive Statistics 1. Names and Numbers: Types of Variables 2. Describing Data Part Two Parametric Statistics 3. Statistical Inference 4. Comparison of Means of Two Samples: The t Test 5. Comparison Among Many Means: Analysis of Variance 6. Relationship Between Interval and Ratio Variables: Linear and Multiple Regression 7. Analysis of Covariance 8. Variations on Linear Regression: Logistic Regression, General Linear Model, and Hierarchical Linear Models 9. Time Series Analysis Part Three NonParametric Statistics 10. Nonparametric Tests of Significance 11. Nonparametric Measures of Association 12. Advanced Nonparametric Methods Part Four Multivariate Statistics 13. Introduction to Multivariate Statistics 14. Multivariate Analysis of Variance 15. Discriminant Function Analysis 16. Exploratory Factor Analysis 17. Path Analysis and Structural Equation Modeling 18. Cluster Analysis 19. Canonical Correlation 20. Reprise 21. Research Designs
