Good evening,
Would appreciate it if anyone can detail the formula used to calculate the predicted probability of a conditional logistic regression.
In the sample below I have used the predict command after running clogit to calculate the prob variable in the final column.
If I was to calculate this manually, how would I go about it please?
Would appreciate it if anyone can detail the formula used to calculate the predicted probability of a conditional logistic regression.
In the sample below I have used the predict command after running clogit to calculate the prob variable in the final column.
If I was to calculate this manually, how would I go about it please?
Code:
* Example generated by -dataex-. For more info, type help dataex clear input long caseid float response str37 raceid float prob 657819 45.955 "Hamilton446940.829861111111111" .1202073 657817 45.5859 "Hamilton446940.829861111111111" .11792452 657822 42.8965 "Hamilton446940.829861111111111" .10254938 657818 41.7161 "Hamilton446940.829861111111111" .0964504 657815 41.5446 "Hamilton446940.829861111111111" .095595 657812 41.2656 "Hamilton446940.829861111111111" .09421955 657820 36.612 "Hamilton446940.829861111111111" .0739876 657816 36.4275 "Hamilton446940.829861111111111" .073281914 657813 33.8802 "Hamilton446940.829861111111111" .064199455 657814 31.8886 "Hamilton446940.829861111111111" .05788982 657811 25.2117 "Hamilton446940.829861111111111" .04092379 657823 23.0621 "Hamilton446940.829861111111111" .036600098 657821 16.6054 "Hamilton446940.829861111111111" .02617119 657826 49.1556 "Leopardstown446940.833333333333333" .1340408 657832 47.6529 "Leopardstown446940.833333333333333" .12397585 657834 43.8571 "Leopardstown446940.833333333333333" .1017903 657827 41.9965 "Leopardstown446940.833333333333333" .09241287 657833 41.6325 "Leopardstown446940.833333333333333" .09068196 657828 41.3487 "Leopardstown446940.833333333333333" .08935494 657829 39.1075 "Leopardstown446940.833333333333333" .07953504 657839 29.2556 "Leopardstown446940.833333333333333" .04767671 657830 26.6938 "Leopardstown446940.833333333333333" .04173629 657838 26.4801 "Leopardstown446940.833333333333333" .04127555 657835 24.5801 "Leopardstown446940.833333333333333" .03739643 657836 21.6062 "Leopardstown446940.833333333333333" .032043573 657824 19.0281 "Leopardstown446940.833333333333333" .028027264 657831 18.0319 "Leopardstown446940.833333333333333" .026613817 657837 11.5148 "Leopardstown446940.833333333333333" .018970804 657825 6.2982 "Leopardstown446940.833333333333333" .014467807 end

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