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fharrell.com
| | aosmith.rbind.io
4.7 parsecs away

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| | I walk through an example of simulating data from a binomial generalized linear mixed model with a logit link and then exploring estimates of over/underdispersion.
| | hbiostat.org
0.9 parsecs away

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| | 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.
| | www.nicholas-ollberding.com
3.9 parsecs away

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| | This is post is to introduce members of the Cincinnati Children's Hospital Medical Center R Users Group (CCHMC-RUG) to some of the functionality provided by Frank Harrell's Hmisc and rms packages for data description and predictive modeling.
| | www.robertkubinec.com
29.6 parsecs away

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| Ordered beta regression can give you comparable, scale-free ATEs that can still be understood in the scale of the original data-all without using logs.