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fharrell.com | ||
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blog.foletta.net
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hbiostat.org
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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www.fharrell.com
Observational data from electronic health records may contain biases that large sample sizes do not overcome. Moderate confounding by indication may render an infinitely large observational study less useful than a small randomized trial for estimating relative treatment effectiveness. |
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juliasilge.com
A data science blog |
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