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fharrell.com | ||
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www.rdatagen.net
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| | | | | I've been curious to see how helpful ChatGPT can be for implementing relatively complicated models in R. About two years ago, I described a model for estimating a treatment effect in a cluster-randomized stepped wedge trial. We used a generalized additive model (GAM) with site-specific splines to account for general time trends, implemented using the mgcv package. I've been interested in exploring a Bayesian version of this model, but hadn't found the time to try - until I happened to pose this simple question to ChatGPT: | |
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hbiostat.org
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| | | | | This article presents an argument that for RCTs with a binary outcome the primary result should be a distribution and not any single number summary. The GUSTO-I study is used to exemplify risk difference distributions. | |
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freerangestats.info
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| | | | | I look at some unusual data where the median was higher than the mode, and show how to model it in Stan as a mixture of two negative binomial distributions. | |
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www.techinterviewhandbook.org
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| | | Interview formats of the top tech companies. Know what to expect and prepare well for them | ||
