Visualization
14 posts
Understanding Odds Ratios and Risk Ratios
An interactive article about odds ratios, risk ratios (relative risk), and risk differences, and why the interpretation of odds ratios is perhaps more odd than expected.
Why Adjusted Regression Coefficients Are Less Descriptive Than They Look
An interactive article about how regression adjustment works and the pitfalls of conditional associations in descriptive studies.
Introducing PowerLMM.js: Browser-based power analysis for longitudinal models with dropout
A new tool for power analysis of longitudinal linear mixed-effects models (LMMs), with support for missing data, random slopes, and non-inferiority and equivalence tests.
The Cohen's d app translation project
My Cohen's d app supports multiple languages, and any help translating the content into more languages is very welcome.
New d3.js visualization: Equivalence, non-inferiority and superiority testing
This visualization illustrates the appropriate tests to use when your research hypothesis is that two treatments are equally effective, or that a new treatment is no worse than the current gold standard.
New d3.js visualization: Bayesian inference
The visualization illustrates a Bayesian two-sample t test
[Updated] Statistical Power and Significance Testing Visualization
I've added more options to my NHST visualization
[Update] P-curve visualization updated with log x-axis
My p-curve visualization has been updated with the option to log the x-axis.
New d3.js visualization: the t-distribution and its normal approximation
This visualization shows how the t-distribution and the Gaussian (normal) distribution approaches each other when sample size increases.
New visualization of the distribution of p-values using d3.js
Here's a new visualization that shows the p-curve distribution when comparing the means of two independent samples for varying effects. Many know that the distribution is uniform when the null is true, but what about when it isn't?
Interpreting Confidence Intervals – new d3.js visualization
Understand confidence intervals by using my new interactive visualization.
New d3.js visualization: Interpreting Correlations
This new visualization is an interactive display of the correlation between two variables.
New d3.js visualization: Understanding Significance Testing and Statistical Power
This new visualization is an interactive display of classical null hypothesis significance testing and statistical power.
New d3.js visualization: Interpreting Cohen’s d effect size
I have created a new visualization in D3. The purpose is to aid in the interpretation of Cohen’s d.