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 fharrell.com
Incorporating Historical Control Data Into an RCT - Statistical Thinking
| | hbiostat.org
7 Nonparametric Statistical Tests - Biostatistics for Biomedical Research
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| | hbiostat.org
Avoiding One-Number Summaries of Treatment Effects for RCTs with Binary Outcomes - Statistical Thinking
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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.
| | www.rdatagen.net
Can ChatGPT help construct non-trivial statistical models? An example with Bayesian "random" splines -
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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:
| | philstatwars.wordpress.com
LSE Research Seminar PH500 21 May - 25 June, 2020 | PhilStatWars
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| General Schedule PDF CLICK ON READINGS Topic: Current Controversies in Phil Stat (LSE, Remote 15:00 - 17:00; Thursdays 21 May-18 June) Main Text SIST:Statistical Inference as Severe Testing: How to Get Beyond the Statistics WarsCUP, 2018)*: Slides for each meeting will be on individual meeting posts on this blog. I. (May 21) Introduction: Controversies in...