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www.nicholas-ollberding.com
| | 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.
| | 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.civilytics.com
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| | Update: Since this post was released I have co-authored an R package to make some of the items in this post easier to do. This package is called merTools and is available on CRAN and on GitHub. To read more about it, read my new post hereand check out the packageon GitHub. Introduction First of [...]
| | tdhock.github.io
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| Statistical machine learning researcher working on fast optimization algorithms for large data.