A computer implemented method for analyzing the therapeutic effect of a treatment of patients in a clinical environment comprising the following steps: (i) identifying a plurality of records relating to patients in a clinical database, said records comprising measurements for the patients relating to tests administered during an off-treatment period and an on-treatment period; (ii) identifying at least one test in said plurality of records relating to k measurements of each patient during an off-treatment period; (iii) identifying at least one test in said plurality of records relating to j measurements of each patient during an on-treatment period; (iv) identifying a best measurement from said k measurements of each patient during said off-treatment period; (v) performing a statistical distribution assessment on said plurality of records to identify likelihoods of a plurality of subsets of said j on-treatment measurements exceeding said best measurement, wherein the statistical distribution assessment uses a computer model based on random number generation or is derived from executing a range disparity distribution; (vi) selecting a threshold likelihood, corresponding to the likelihood of a number of j measurements exceeding said best measurement, said number of measurements exceeding said best measurement indicating an improved performance and thereby a treatment response in a patient; (vii) identifying one or more acceptable subsets from the plurality of subsets of j on-treatment measurements with respective likelihoods that are not above the threshold likelihood; (viii) comparing said j on-treatment measurements with said best measurement; and (ix) selecting the patients who have the number of j measurements exceeding said best measurement as one of the acceptable subsets. (i) identifying a plurality of records relating to patients in a clinical database, said records comprising measurements for the patients relating to tests administered during an off-treatment period and an on-treatment period; (ii) identifying at least one test in said plurality of records relating to k measurements of each patient during an off-treatment period; (iii) identifying at least one test in said plurality of records relating to j measurements of each patient during an on-treatment period; (iv) identifying a best measurement from said k measurements of each patient during said off-treatment period; (v) performing a statistical distribution assessment on said plurality of records to identify likelihoods of a plurality of subsets of said j on-treatment measurements exceeding said best measurement, wherein the statistical distribution assessment uses a computer model based on random number generation or is derived from executing a range disparity distribution; (vi) selecting a threshold likelihood, corresponding to the likelihood of a number of j measurements exceeding said best measurement, said number of measurements exceeding said best measurement indicating an improved performance and thereby a treatment response in a patient; (vii) identifying one or more acceptable subsets from the plurality of subsets of j on-treatment measurements with respective likelihoods that are not above the threshold likelihood; (viii) comparing said j on-treatment measurements with said best measurement; and (ix) selecting the patients who have the number of j measurements exceeding said best measurement as one of the acceptable subsets.