Hello all,
I have a huge dataset of longitudinal medical records. Each record contains indications for drug and disease. I have been able to calculate the Cure Rate in the population given a particular drug. This is, simply 1 minus the ratio of number of diseases after the number of diseases before the drug.
Unfortunately, this calculation would suggest that every drug I am interested in has a poor level of medical efficacy. Clearly, this is because the drugs I am interested in might only work on a subset of patients, therefore, a complete population based study is going to be very biased.
Given how many patients show a reduction in disease after taking the drug, how can I determine whether that was statistical significant or just by chance?
Use any of these statistical programs: SPSS , Stata or MedCalc.
Significance test will indicate that the outcome of the disease is by chance or statistically significance.
The P value (probability of chance) should not exceed 0.05 or 5% to be statistically significance.
Well, Anthony, your question is too obscure because the data structure is unclear. (The cure fraction you mention appears to be the aggregate result of treatment and spontaneous cure; the comparison you want to make therefore appears to call for data on spontaneous cure, if I understand it correctly.) Pritam's answer I also do not grasp, and to next two comments have no real content. - At the very least, please explain to me why the fraction you mention isn't automatically between zero and 1.00, whether or not the drug is effective.
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