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aurimas.eu | ||
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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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www.evanmiller.org
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www.huber.embl.de
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| | | | | If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. | |
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zevross.com
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| | | We use the R library mgcv for modeling environmental data with generalized additive models (GAMs). It's a great library loaded with functionality but we often find that the default diagnostic ... | ||
