Hello,
I have data with a binary response (event, no event) and a continuous dependent variable (e.g. dose).
I am interested in the value needed of the dependent variable to achive a probability of response of 30%.
I have used the model estimates from proc logistic to identify the point esimtate for the dependent variable (e.g. with my data a dose of 252mg produces a predicted probability of event of 30%). In addition to the point estimate, I am interested in obtaining a 95% confidence interval for this value. Lower= and upper= options in the output statement give the range for the probability at a given dependent variable value. I want the opposite - I want the range for the dependent variable at a given probability. Is that possible?
I believe this is known as the LD30 value (lethal dose=0.3), You can use PROC PROBIT to obtain a point estimate for the X value as well as an (inverse) CI for the value. See the last example at
https://blogs.sas.com/content/iml/2020/12/07/transplant-indoor-christmas-tree.html
which includes a link to the PROC PROBIT documentation. Note that the example uses LD50, so you'll have to modify the INVERSECL option to be
INVERSECL(prob=0.3)
I believe this is known as the LD30 value (lethal dose=0.3), You can use PROC PROBIT to obtain a point estimate for the X value as well as an (inverse) CI for the value. See the last example at
https://blogs.sas.com/content/iml/2020/12/07/transplant-indoor-christmas-tree.html
which includes a link to the PROC PROBIT documentation. Note that the example uses LD50, so you'll have to modify the INVERSECL option to be
INVERSECL(prob=0.3)
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