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fharrell.com
| | tdhock.github.io
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| | Statistical machine learning researcher working on fast optimization algorithms for large data.
| | hbiostat.org
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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.fharrell.com
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| | This article provides resources to assist researchers in understanding and using ordinal regression models, and provides arguments for their wider use.
| | fharrell.com
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| [AI summary] This post by Frank Harrell explores how to translate a compound symmetric correlation structure in longitudinal data into first- and fifth-order Markov model semiparametric regression approaches, and examines how including lagged variables affects random effects in a Bayesian mixed model.