Читать книгу Evidence-Based Statistics - Peter M. B. Cahusac - Страница 2
Table of Contents
Оглавление1 Cover
6 1 The Evidence is the Evidence 1.1 Evidence-Based Statistics 1.2 Statistical Inference – The Basics 1.3 Effect Size – True If Huge! 1.4 Calculations 1.5 Summary of the Evidential Approach References Notes
7 2 The Evidential Approach 2.1 Likelihood 2.2 Misleading and Weak Evidence 2.3 Adding More Data and Multiple Testing 2.4 Sequence of Calculations Using t 2.5 Likelihood Terminology 2.6 R Code for Chapter 2 2.7 Exercises References Notes
8 3 Two Samples 3.1 Basics Using the t Distribution 3.2 Related Samples 3.3 Independent Samples 3.4 Calculation Simplification 3.5 If Variance Is Known, or Large Sample Size, Use z 3.6 Methodological and Pro Forma Analyses 3.7 Adding More Data 3.8 Estimating Sample Size 3.9 Differences in Variances 3.10 R Code For Chapter 3 3.11 Exercises References Notes
9 4 ANOVA 4.1 Multiple Means 4.2 Example – Fitness 4.3 Factorial ANOVA 4.4 Alerting r2 4.5 Repeated Measures Designs 4.6 Exercise References Notes
10 5 Correlation and Regression 5.1 Relationships Between Two Variables 5.2 Correlation 5.3 Regression 5.4 Logistic Regression 5.5 Exercises References Notes
11 6 Categorical Data 6.1 Types of Categorical Data 6.2 Binomial 6.3 Poisson 6.4 Rate Ratios 6.5 One-Way Categorical Data 6.6 2 × 2 Contingency Tables 6.7 Larger Contingency Tables 6.8 Data That Fits a Hypothesis Too Well 6.9 Transformations of the Variable 6.10 Clinical Trials – A Tragedy in 3 Acts 6.11 R Code for Chapter 6 6.12 Exercises References Notes
12 7 Nonparametric Analyses 7.1 So-Called ‘Distribution-Free’ Statistics 7.2 Hacking SM 7.3 One Sample and Related Samples 7.4 Independent Samples 7.5 More than Two Independent Samples 7.6 Permutation Analyses 7.7 Bootstrap Analyses for One Sample or Related Samples 7.8 R Code for Chapter 7 7.9 Exercises References
13 8 Other Useful Techniques 8.1 Other Techniques 8.2 Critical Prior Interval 8.3 False Positive Risk 8.4 The Bayes Factor and the Probability of the Null Hypothesis 8.5 Bayesian t Tests 8.6 The Armitage Stopping Rule 8.7 Counternull Effect Size References Notes
14 Appendix A: Orthogonal Polynomials
15 Appendix B: Occam's Bonus Reference
16 Appendix C: Problems with p Values C.1 The Misuse of p Values C.2 The Use of p Values References
17 Index
