/explore
|
You are here 
|
indrajeetpatil.github.io | ||
| | | | |
fharrell.com
|
|
| | | | | In this article I provide much more extensive simulations showing the near perfect agreement between the odds ratio (OR) from a proportional odds (PO) model, and the Wilcoxon two-sample test statistic. The agreement is studied by degree of violation of the PO assumption and by the sample size. A refinement in the conversion formula between the OR and the Wilcoxon statistic scaled to 0-1 (corcordance probability) is provided. | |
| | | | |
statsandr.com
|
|
| | | | | Learn how to apply the Student's t-test by hand and in R in order to compare two independent or paired samples with known or unknown variances | |
| | | | |
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(). | |
| | | | |
www.statsblogs.com
|
|
| | | [AI summary] The article argues against teaching null hypothesis significance testing (NHST) in statistics courses due to its ineffectiveness, danger, and lack of purpose, advocating instead for estimation and meta-analysis as more informative methods. | ||
