If the HRA results can't be trusted, maybe the Multistate Health Plan should try fortune-telling instead. At least that way, they'd have a 50/50 chance of getting it right!
D seems a bit too specific. If there's sampling bias, I don't think you can make any definitive statements about the variation in risks. A is the safest bet here.
I was torn between A and D, but I think A makes the most sense. Sampling bias would skew the HRA results and prevent them from accurately depicting the population's characteristics.
I think the answer is A. The question clearly states that the HRA results were affected by sampling bias, which means the data collected does not accurately represent the entire Multistate member population.
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