All, Back in April 2010, Sebastian Bihorel and Martin Bergstrand initiated a discussion regarding using the M3 and M4 methods for handling BQL data and how it seemed to be a bug that NONMEM wouldn't compute WRES for the entire set of subject data records whenever a BQL was included ( https://www.cognigen.com/nmusers/2010-April/2445.html). Tom Ludden responded with the following post ( https://www.cognigen.com/nmusers/2010-April/2447.html):
This issue was discussed with Stuart Beal. He believed that weighted residuals would be incorrect for an individual that had both continuous dependent variables and a likelihood in the calculation of their contribution to the objective function value, as is the case with his M3 or M4 BQL methods The code for both RES and WRES are intentionally bypassed in these cases. Since then, we now have easy functionality with the F_FLAG=1 condition of the M3/M4 code in $ERROR to tack on MDVRES=1 that allows the calculation of WRES and CWRES to be available in output tables. My questions are: Is Stuart Beal's original concern still valid? Do these NONMEM updates give us appropriate WRES and CWRES for plotting purposes for individuals whose records contain BQL data? Thank you, Mutaz Jaber PhD student University of Minnesota ------------------------------------------------------- *Mutaz M. Jaber, PharmD.* PhD student, Pharmacometrics Experimental and Clinical Pharmacology University of Minnesota 717 Delaware St SE; Room 468 Minneapolis, MN 55414 Email: jaber...@umn.edu Phone: +1 651-706-5202 *~ Stay curious*
