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David
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Assuming that the samples are not biased in favour of any of the drugs, you can try to calculate the 95% confidence interval for each of the new drugs and check whether or not they intersect with the (66%-74%) you had for drug A.

I didn't do the math precisely, but The results will look something like (52%32%-68%48%) for drug B and (62%22%-78%38%) for drug C. I think a larger sample would really help

Assuming that the samples are not biased in favour of any of the drugs, you can try to calculate the 95% confidence interval for each of the new drugs and check whether or not they intersect with the (66%-74%) you had for drug A.

I didn't do the math precisely, but The results will look something like (52%-68%) for drug B and (62%-78%) for drug C. I think a larger sample would really help

Assuming that the samples are not biased in favour of any of the drugs, you can try to calculate the 95% confidence interval for each of the new drugs and check whether or not they intersect with the (66%-74%) you had for drug A.

I didn't do the math precisely, but The results will look something like (32%-48%) for drug B and (22%-38%) for drug C. I think a larger sample would really help

Source Link
David
  • 2.7k
  • 1
  • 8
  • 18

Assuming that the samples are not biased in favour of any of the drugs, you can try to calculate the 95% confidence interval for each of the new drugs and check whether or not they intersect with the (66%-74%) you had for drug A.

I didn't do the math precisely, but The results will look something like (52%-68%) for drug B and (62%-78%) for drug C. I think a larger sample would really help