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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...
| | juliasilge.com
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| | A data science blog
| | aosmith.rbind.io
13.4 parsecs away

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| | Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation.
| | minireference.com
30.4 parsecs away

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| [AI summary] The author discusses the need for a revised introductory statistics curriculum, emphasizing the importance of probability distributions, estimators, and sampling methods. They highlight the inclusion of modern statistical techniques like permutation tests and Bayesian statistics, while also addressing ethical considerations and practical applications. The author also recommends various learning resources for readers interested in statistics.