Hi,
I'm performing a binary logistic regression, but I want to calculate the probability for each record and append it to the data set, does anyone know how to do this?
Best,
You can use a SCORE statement to score the same dataset as follows -> it will output individual predicted probabilities in column P_1
proc logistic data=<yourdata>;
model y (event="1") = <x1 x2>;
score data=<yourdata> out=want;
run;
The results are identical to the approach suggested by @PGStats , using an OUTPUT statement and the PREDPROBS option assuming you request individual (and not cumulative) probabilities.
proc logistic data=<yourdata>;
model y (event="1") = <x1 x2>;
output out=want predprobs=(individual);
run;
Best,
Look at option PREDPROBS=() in the OUTPUT statement of PROC LOGISTIC.
You can use a SCORE statement to score the same dataset as follows -> it will output individual predicted probabilities in column P_1
proc logistic data=<yourdata>;
model y (event="1") = <x1 x2>;
score data=<yourdata> out=want;
run;
The results are identical to the approach suggested by @PGStats , using an OUTPUT statement and the PREDPROBS option assuming you request individual (and not cumulative) probabilities.
proc logistic data=<yourdata>;
model y (event="1") = <x1 x2>;
output out=want predprobs=(individual);
run;
Best,
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