Here’s a proposal for getting to a set of negative controls. Let’s take
- 4 exposures with 25 negative controls outcomes each
- 4 outcomes with 25 negative control exposures each
The reason for using both negative control exposures and outcomes is that stratifying results either by outcome or exposure might tell us something about when a specific method is more or less appropriate. The choice for 4 and 25 is that this still makes it somewhat tractable, given that we probably will use these 2425 = 200 negative controls as basis for synthesizing positive controls. If we inject signals at 1.5, 2, and 4. that means we’ll have 3*300 = 600 positive controls, so 800 exposure-outcome pairs to execute each method variation on.
For the 4 outcomes, we could simply pick those used in the OMOP Experiment: GI bleed, acute myocardial infarction, acute liver failure, and acute renal failure.
For the 4 exposures, we could pick 4 very different drugs: diclofenac, ciprofloxacin, metformin, and sertaline.
Let me know what you think! What would be your favorite exposures and outcomes to focus on, and why?