Hello NONMEM6 users,
At one conference new features of NONMEM6 were presented. It was stated that NONMEM6 takes care of BQL values and improves likelihood. I tried to find information in the manuals and found the YLO example and the following statement: "Last observation record (below) has DV < LOQ (LOQ = 1) and MDV = 1. This observation does not contribute to the -2LL estimate. However, probability that DV is > LOQ can be tabled using PRB=PR_Y." Therefore (?), taking care of BQLs in the YLO examlpe does not improve the results.
1. Is there a way to utilize BQLs and improve likelihood?
2. How helpful is the estimate of PR_Y?
Thank you!
Pavel
Received on Fri Jan 05 2007 - 21:11:41 EST
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