Re: Weights for AUC in a logistics regression

From mats@eddie.biof.uu.se Thu Oct 17 08:18:11 1996 Subject: Re: Weights for AUC in a logistics regression Dear Farkad, We are at the moment looking at the problem you're asking about. In your specific case, I don't think you need weighting, the difference in the precision of CL estimates from a model-based analysis of 4 and 16 is minor, provided the sampling strategy is decent for the sparse sampling. This is also indicated in the results you describe. An alternative may be to do a simultaneous analysis of the PK and the PD data. NONMEM supports logistic regression, but I don't know if you can simultaneously fit continuous PK data. If this doesn't work there is a possibility for you to obtain SE's of your individual CL estimates. How this is done is explained in NONMEM manual II. You may, however, want to think about how you would use these in your regression (we don't have enough experience to say that a certain treatment is superior to others).. Best regards, Mats Karlsson & Niclas Jonsson