/explore
|
You are here 
|
indrajeetpatil.github.io | ||
| | | | |
fharrell.com
Many researchers worry about violations of the proportional hazards assumption when comparing treatments in a randomized study. Besides the fact that this frequently makes them turn to a much worse approach, the harm done by violations of the proportional odds assumption usually do not prevent the proportional odds model from providing a reasonable treatment effect assessment. |
|
| | | | | ||
| | | | |
ddarmon.github.io
|
|
| | | | | ||
| | | | |
easystats.github.io
Compute the rank-biserial correlation (\(r_{rb}\)) and Cliff's delta (\(\delta\)) effect sizes for non-parametric (rank sum) differences. These effect sizes of dominance are closely related to the Common Language Effect Sizes. Pair with any reported stats::wilcox.test(). |
|
| | | | | ||
| | | | |
jaketae.github.io
"I think that's very unlikely." "No, you're probably right." |
|
| | | |||
