Clinical Data Analysis on a Pocket Calculator: Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing - Softcover

Preface

I Continuous Outcome Data                                                                                                                     

1 Data Spread, Standard Deviations               

2 Data Summaries: Histograms, Wide and Narrow Gaussian Curves     

3 Null-Hypothesis Testing with Graphs

4 Null-Hypothesis Testing with the T-table   

5 One-Sample Continuous Data (One-Sample T-Test, One-Sample Wilcoxon  

6 Paired Continuous Data (Paired T-Test, Two-Sample Wilcoxon Signed Rank Test)

7 Unpaired Continuous Data (Unpaired T-Test, Mann-Whitney)

8 Linear Regression (Regression Coefficients, Correlation Coefficients, and their   Standard Errors)

9 Kendall-Tau Regression for Ordinal Data  

10 Paired Continuous Data, Analysis with Help of Correlation Coefficients         

11 Power Equations           

12 Sample Size Calculations            

13 Confidence Intervals

14 Equivalence Testing instead of Null-Hypothesis Testing      

15 Noninferiority Testing instead of Null-Hypothesis Testing      

16 Superiority Testing instead of Null-Hypothesis Testing

17 Missing Data Imputation            

18 Bonferroni  Adjustments             

19 Unpaired Analysis of Variance (ANOVA)               

20 Paired Analysis of Variance (ANOVA)     

21 Variability Analysis for One or Two Samples             

22 Variability Analysis for Three or More Samples     

23 Confounding 

24 Propensity Score and Propensity Score Matching for Multiple Confounders      

25 Interaction        

26 Accuracy and Reliability Assessments     

27 Robust Tests for Imperfect Data               

28 Non-linear Modeling on a Pocket Calculator          

29 Fuzzy Modeling for Imprecise and Incomplete Data            

30 Bhattacharya Modeling for Unmasking Hidden Gaussian Curves    

31 Item Response Modeling instead of Classical Linear Analysis of Questionnaires           

32 Meta-Analysis                1

33 Goodness of Fit Tests for Identifying Nonnormal Data        

34 Non-Parametric Tests for Three or More Samples (F