The "Overall Response Rate" (ORR) is a term commonly used in clinical trials, particularly in the field of oncology, to measure the efficacy of a treatment. The ORR reflects the proportion of patients whose cancer shrinks (partial response, PR) or disappears (complete response, CR) after treatment, according to predefined criteria.
Here's how the ORR is typically calculated:
Identify the Responses: Determine the number of patients who have a Complete Response (0) and those who have a Partial Response (1) to the treatment. These criteria are often based on standard response evaluation criteria in solid tumors (RECIST).
Calculate the ORR: Add the number of patients with CR and the number of patients with PR. Divide this sum by the total number of patients in the subset of the trial being considered. The ORR is usually expressed as a percentage.
ORR=(Number of CR+Number of PRTotal Number of Patients)×100%ORR=(Total Number of PatientsNumber of CR+Number of PR)×100%
How would I obtain confidence intervals using this code. I have tried clodds= and cl but I get errors. Would proc logistic work better or can i just calculate it in a different data step?
proc freq data=adrs_inv2;
tables result_Cr_Pr/ chisq CMH out=a ;
weight pwt;
output out=resultfile all ; run;
When I attempt this code below I get this error and similar when I use CL instead of CLODDS=WALD
proc freq data=adrs_inv2;
tables result_Cr_Pr / chisq CMH oddsratio CLODDS=WALD;
weight pwt;
output out=resultfile;
run;
So I think this code might do it but the issue I'm getting is that it is not outputting ProportionalCi as a dataset and get a warning about " WARNING: No OUTPUT data set is produced because no statistics are requested." I just need the percentage of "0", and the confidence interval of the percentage
proc freq data=adrs_inv2;
tables result_Cr_Pr / binomial;
weight pwt;
output out=ProportionCI;
run;
/* Additional step to extract only the '0' category if needed */
data ProportionCI_0;
set ProportionCI;
where result_Cr_Pr = 0;
run;
Updated sample data
data adrs_inv2;
input result_Cr_Pr pwt;
datalines;
0 1.51672
0 0.905012
0 1.60279
0 1.94328
0 1.36424
1 1.35838
1 0.834622
1 1.17069
1 1.76961
0 1.54922
1 0.946155
1 1.37191
1 1.8226
1 1.5388
1 1.58788
0 1.25199
1 1.58308
0 0.517571
;
run;
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