Part 2: Statistics
33
Cochran’s Q Test
Practical Statistics in Medicine with R
Welcome!
Part 1: R Basics
1
R via RStudio
2
RStudio Projects
3
R as calculator
4
R functions
5
R packages
6
R objects
7
Atomic vectors
8
Matrices and arrays
9
Lists and data frames
10
Data import, manipulation, and transformation
11
Data visualization with ggplot2
Part 2: Statistics
12
Introduction
13
Basic concepts of Probability
14
Probability Distributions
15
Normal distribution
16
Descriptive statistics
17
Populations and samples
18
Confidence intervals
19
Hypothesis testing
20
Two-sample t-test
21
Wilcoxon-Mann-Whitney test
22
Paired t-test
23
Wilcoxon Signed-Rank test
24
One-way ANOVA test
25
Kruskal-Wallis test
26
One-way Repeated Measures ANOVA
27
Friedman test
28
Correlation
29
Simple linear regression
30
Chi-sqaure test of independence
31
Fisher’s exact test
32
McNemar’s test
33
Cochran’s Q Test
34
Survival analysis
35
Measures of reliability
36
Measures of diagnostic test accuracy
37
Receiver Operating Characteristic (ROC) curve
38
Sample size estimation
References
Part 2: Statistics
33
Cochran’s Q Test
33
Cochran’s Q Test
32
McNemar’s test
34
Survival analysis