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1

You can use propensity score methods in a variety of settings. The appropriateness of the methods depends on having a good set of observed covariates that measure the potential sources of confounding. A setting where the intervention is selected by an application could be fine provided you still have controls available who based on their covariate values ...


2

First, you would expect that the mutation and no mutation groups would have the same BMI since the presence of the mutation is completely independent from BMI and all other variables in the data. The fact that you got a significant difference using the first comparison is a fluke; if you use a different seed, (e.g., 9999), you get a nonsignificant difference....


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