Dear Robert:
Thanks for your kindly reply. I tried either one of the following two methods to run M3 method to handle BQL samples, it failed to run. I got error msg as shown below the method. I also tried SAEM, they all said the same thing - " WITH NMPR17, LAPLACIAN ESTIMATION METHOD MUST BE USED" Sam Liao Pharmax Research ============================================================================ == $EST METHOD=IMP INTERACTION NITER=200 CTYPE=3 ISAMPLE=1000 PRINT=10 NOABORT SIGL=3 SIG=1 $EST METHOD=BAYES INTERACTION NBURN=100 NSAMPLE=3000 NOABORT FILE=RUN301.TXT ============================================================================ == MONITORING OF SEARCH: 0PROGRAM TERMINATED BY OBJ2 WITH INDIVIDUAL 1 ID= 2.00000000000000E+00 DATA REC. 3 WITH NMPR17, LAPLACIAN ESTIMATION METHOD MUST BE USED iteration 0 OBJ= 0.000000000000000E+000 From: Bauer, Robert [mailto:[email protected]] Sent: Wednesday, November 04, 2009 7:50 PM To: Sam Liao; nmusers Subject: RE: [NMusers] NM7 question Yes Robert J. Bauer, Ph.D. Vice President, Pharmacometrics ICON Development Solutions Tel: (215) 616-6428 Mob: (925) 286-0769 Email: [email protected] Web: www.icondevsolutions.com _____ From: [email protected] [mailto:[email protected]] On Behalf Of Sam Liao Sent: Wednesday, November 04, 2009 7:31 PM To: 'nmusers' Subject: [NMusers] NM7 question Dear NONMEM team: To run the M3 method to handle BQL samples, we have to use method=LAPLACIAN NUMERICAL SLOW in NM6. Can we use the new methods in NM7 such as IMP, SAEM or BAYES if we have to run the M3 method? Best regards, Sam Liao Pharmax Reseach From: [email protected] [mailto:[email protected]] On Behalf Of Nick Holford Sent: Wednesday, November 04, 2009 6:43 PM To: nmusers Subject: Re: [NMusers] advan8 vs. advan13 (CORRECTION) Hi, Thanks to Peiming Ma and Thuy Vu for pointing out an error in my attempt to transform bioavailability into its logit. The logit transformation of a probability is ln(P/(1-P)) i.e. the log of the odds ratio. The reverse transform is correct i.e. exp(logit) is the odds ratio and P is then OR/(1+OR) (or 1/1+exp(-logit)). If THETA(1) is the bioavailability then this is (I hope) the correct transformation of THETA(1) and reverse transform to get the individual bioavailability with a random effect constrained to be within 0 and 1. MU_1=LOG(THETA(1)/(1-THETA(1)) ; logit of population bioavailability EXPP=MU_1+ETA(1) ; add random effect BIO=1/(1+EXP(-EXP(EXPP))) ; individual bioavailability Nick -- Nick Holford, Professor Clinical Pharmacology Dept Pharmacology & Clinical Pharmacology University of Auckland,85 Park Rd,Private Bag 92019,Auckland,New Zealand tel:+64(9)923-6730 fax:+64(9)373-7090 mobile:+64(21)46 23 53 email: [email protected] http://www.fmhs.auckland.ac.nz/sms/pharmacology/holford ICON plc made the following annotations. ---------------------------------------------------------------------------- -- This e-mail transmission may contain confidential or legally privileged information that is intended only for the individual or entity named in the e-mail address. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution, or reliance upon the contents of this e-mail is strictly prohibited. If you have received this e-mail transmission in error, please reply to the sender, so that ICON plc can arrange for proper delivery, and then please delete the message. Thank You, ICON plc South County Business Park Leopardstown Dublin 18 Ireland Registered number: 145835
