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fharrell.com
| | 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.
| | blog.foletta.net
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| |
| | www.fharrell.com
2.8 parsecs away

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| | 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.
| | www.tomsguide.com
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