Ordinal Logistic Regression
36
Single Continuous
Contents
1
Data analysis with R
2
Introduction
3
Data Importation
4
Data Types
5
Data Wrangling
6
Data Cleaning
7
Exploratory Data Analysis
8
Descriptive Statistics: Continuous
9
Descriptive Statistics: Categorical
10
Analysis of Numeric Data
11
Analysis of Categorical Data
12
Risk and Odds
13
Normality
14
Hypothesis Testing
15
Confounding & Interaction
Diagnostic Tests
16
Diagnostics Tests
17
ROC Analysis
18
Bland and Altman Analysis
Correlation
19
Correlation
Linear Regression
20
Single Categorical Variable
21
Single Continuous Variable
22
Continuous & Categorical Variables
23
Multivariate
24
Model Selection
25
Linear Regression
Analysis of Variance
26
Oneway ANOVA
27
Two-way ANOVA
28
Analysis of Covariance
Logistic Regression
29
Single Categorical Predictor
30
Single Continuous
31
Categorical & Continuous
32
Multivariate
33
Model Selection
34
Logistic Regression
Ordinal Logistic Regression
35
Single Categorical
36
Single Continuous
37
Continuous and Categorical
38
Multivariate
Survival Analysis
39
Survival Analysis
40
Cox Regression
Missiing Data
41
Visualization
Generalised Additive Modelling
42
Single Categorical
43
Single Continuous
44
Multivariate
Polynomial Regression
45
Single Categorical
46
Single Continuous
47
Multivariate
Quantile Regression
48
Single Categorical
49
Single Continuous
50
Multivariate
Specific Packages
51
dplyr
Package
52
gtsummary
53
nlme
Sample Size
54
Survey: Single proportion
55
Survey: Single mean
56
Matched Case-Control
57
Comparing two means
58
Mean Difference - One sample
Graphics
59
Histogram
60
Density Plot
61
Boxplot
62
Barplot
63
Scatter Plot
64
Line Graphs
65
Dot Chart
66
Curvilinear Plots
67
Error Plot
68
Followup Plot
69
Venn Diagram
70
Population Pyramid
71
Lollipop plot
72
Dumbell Plot
73
ggstatsplot
Package
References
Ordinal Logistic Regression
36
Single Continuous
36
Single Continuous
35
Single Categorical
37
Continuous and Categorical