I used codes as following (reference to LD50 calculation for mixture of dose concentrations in community😞
data A; input dose total dead; cards; 0.03 10 0 0.10 10 1 0.30 10 5 3.00 10 8 ;
proc probit data=A log10 plot=predpplot; model Dead / Total = dose / d=logistic InverseCL(prob=0.1 to 0.9 by 0.1); run;
However, the results of 95% Fiducial Limits are different from example and proc probit dose not provide information for curve fitting ( I need to use proc reg?). How can I reproduce the result from the example file?
Furthermore, I used the same code for my data;
input dose total dead;
0.64 12 9
0.8 12 10
1 12 8
1.25 12 9
1.56 12 9
1.95 12 8
proc probit data=B log10 plot=predpplot;
model dead / total = dose / d=logistic InverseCL(prob=0.1 to 0.9 by 0.1);
The 95% Fiducial Limits didnot estimate in the result and there was no warring from SAS. I am wondering if I could find any suggestion or solution for my data.
Thank you for your reply, it really resolves my doubt.
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