Question
Consider a situation where a bias impacts the RR, resulting in a bias RR = 0.4 but the actual RR (true RR) = 0.8. This
Consider a situation where a bias impacts the RR, resulting in a bias RR = 0.4 but the actual RR (true RR) = 0.8. This would be an example of:
Bias causing the exposure from being a protective factor to be a risk factor
Bias causing an overestimation of RR (away from the null)
Bias causing the exposure from be a risk factor to being a protective factor
Bias causing an underestimation of RR (towards the null)
Consider a situation where a bias impacts the OR, resulting in a bias OR = 1.7 but the actual RR (true RR) = 4.5. This would be an example of:
Bias causing the exposure from being a protective factor to be a risk factor
Bias causing an underestimation of RR (towards the null)
Bias causing an overestimation of RR (away from the null)
Bias causing the exposure from being a risk factor to be a protective factor
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