Hand's paradox

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In

independent groups that can contradict a comparison
between the effects of both treatments applied to a single group.

Paradox

Comparisons of two treatments often involve comparing the responses of a

randomly
chosen patients, one from each group, and a comparison of treatment effects on a randomly chosen patient, can lead to different conclusions.

This has been called Hand's

Examples

Example 1

Label the two treatments A and B and suppose that:

Patient 1 would have responded values 2 and 3 to A and B respectively. Patient 2 would have responded values 4 and 5 to A and B respectively. Patient 3 would have responded values 6 and 1 to A and B respectively.

Then the probability that the response to A of a randomly chosen patient is greater than the response to B of a randomly chosen patient is 6/9 = 2/3. But the probability that a randomly chosen patient will have a greater response to A than B is 1/3. Thus a simple comparison of two independent groups may suggest that patients have a higher probability of doing better under A, whereas in fact patients have a higher probability of doing better under B.

Example 2

Suppose we have two random variables, and , corresponding to the effects of two treatments. If we assume that and are independent, then , suggesting that A is more likely to benefit a patient than B. In contrast, the

joint distribution
which minimizes leads to . This means that it is possible that in up to 62% of cases treatment B is better than treatment A.

References