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articles.foletta.org | ||
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fharrell.com
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| | | | | In randomized clinical trials, power can be greatly increased and sample size reduced by using an ordinal outcome instead of a binary one. The proportional odds model is the most popular model for analyzing ordinal outcomes, and it borrows treatment effect information across outcome levels to obtain a single overall treatment effect as an odds ratio. When deaths can occur, it is logical to have death as one of the ordinal categories. Consumers of the results frequently seek evidence of a mortality reduct... | |
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erikbern.com
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| | | | | I made a New Year's resolution: every plot I make during 2018 will contain uncertainty estimates. Nine months in and I have learned a lot, so I put together a summary of some of the most useful methods. | |
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calogica.com
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| | | | | In this post, we'll model a key NFL football stat, Fourth Down Attempts, using Bayesian Modeling and PyMC3. | |
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www.ericekholm.com
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| | | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of) | ||
