3 ms·
If the effect size is large, the benefits of randomization go down. A very effective treatment would be evidently very effective without the burden of statistic
by abakker 7y ago
If the effect size is large, the benefits of randomization go down. A very effective treatment would be evidently very effective without the burden of statistical proof. The randomization is critical when you are looking to differentiate small effects from random noise.
That said, large effect sizes in one hospital don’t control for confounding variables.
- kgwgk 7y agoRandomization is not required to neutralize random noise, which is... random. It’s required to prevent systematic biases like giving the drug that you think might help to the patients with better prognosis (instead of wasting it on those that are very likely to die anyway).