[NMusers] Upcoming Modeling Webinar by Dr. Britta Goebel for World Diabetes Day

2019-11-06 Thread Rebecca Baillie
Quantitative Systems Pharmacology Modeling Support in Development of Novel Diabetes Treatments Dr. Britta Goebel Head of Translational Disease Modeling (Diabetes-CV & I&I) at Sanofi, Frankfurt Thursday Nov 14, 2019, 12:00 to 1:00 pm EST (World Diabetes Day) Register for free at https://www.rosa

Re: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Carlos ST
Hi all, Thank you for your suggestions I really appreciate it. I will also have a look to these resources. Thanks again, Carlos On Wed, 6 Nov 2019 at 17:21, Mark Sale wrote: > > good point Steve, no USEFUL (unbiased?) information. > But, I'd suggest it is an error to include >LLOQ predose but

Re: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Mark Sale
good point Steve, no USEFUL (unbiased?) information. But, I'd suggest it is an error to include >LLOQ predose but exclude CONFIDENTIALITY NOTICE The information in this transmittal (including attachments, if any) may be privileged and confidential and is intended only for the recipient(s) list

RE: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Stephen Duffull
Hi all In theory a sample that has an expected concentration=0 and if you using an additive error then this sample will provide information about \sigma_add. However, this will only be the case if the assay result is reported exactly as is (which would allow negative observations). However, si

Re: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Mark Sale
If >LLOQ has information, then !>LLOQ MUST also have information. and Yes, we evacuated for 6 days, back home now. Mark Sale M.D. Senior Vice President, Pharmacometrics Nuventra Inc. 2525 Meridian Parkway, Suite 200 Durham, NC 27713 Phone (919)-973-0383 ms...@nuventra.com CONFIDENTIALITY NOTICE

Re: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Dennis Fisher
Mark I disagree (more than a little). If a sample is reported as BQL and the expected value is 0 (i.e., pre-dose, not endogenous), what information is there about assay precision. If the error model is additive (or additive + proportional), the sample will contribute zero to the objective fun

Re: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Mark Sale
Dennis, I may have to disagree, a little. There is information, a little, in a pre dose BQL, about assay precision. I think you might agree that is a pre dose sample is NOT BQL (which happens), tells you (and NONMEM) something about the assay. Converse, even a BQL predose sample has a small amou

Re: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Paolo Denti
Hi Carlos, Adding to what the others suggested, please note that, if that EVID=0 record is the very first record for that patient, NONMEM will predict all compartments to be empty (all amounts = 0) at that time (unless you initialise as discussed below). If indeed there were no doses before that s

Re: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Carlos ST
Hi NMUsers community for you excellent suggestions. I will work through it. Thanks, Carlos On Wed, 6 Nov 2019 at 15:12, Bill Denney wrote: > > Hi Carlos, > > It is commonly used. For most datasets, there will be at least one > observation that occurs before dosing to estimate the baseline val

RE: [NMusers] Using evid 0 before dosing

2019-11-06 Thread R.terHeine
Dear Carlos, You could also use an EVID=2 to do a read-out of a certain compartment. Cheers, Rob -Oorspronkelijk bericht- Van: owner-nmus...@globomaxnm.com Namens Bill Denney Verzonden: woensdag 6 november 2019 16:12 Aan: Carlos ST ; nmusers@globomaxnm.com Onderwerp: RE: [NMusers] Using

Re: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Dennis Fisher
Bill I think that the issue is more complicated than you acknowledge. Assuming that the drug is not an endogenous substance, the pre-dose concentration is likely to be BQL. However, there are two kinds of BQL values: 1. Samples that are truly zero because they were obtained pre-dose

RE: [NMusers] Using evid 0 before dosing

2019-11-06 Thread Bill Denney
Hi Carlos, It is commonly used. For most datasets, there will be at least one observation that occurs before dosing to estimate the baseline value, and in almost every scenario, the modeling dataset should mirror the real world actions. So, there is no issue with it, and usually you will have an

[NMusers] Using evid 0 before dosing

2019-11-06 Thread Carlos ST
Dear NMUsers, I would like advice in the best practice to use evid 0 before dosing, which is to say an observation just before a dosing (*to estimate the value in that compartment just before dosing event). Thank you, Carlos,

Re: [NMusers] User defined likelihood function in POSTHOC estimation

2019-11-06 Thread Tingjie Guo
Hi Ruben, I'm using NM7.4.3. But would INTERACTION matter to POSTHOC estimation? I personally don't think so. Could you maybe explain? You are right it should be LOG(VAR). I made this typo when re-naming these variables to make the code clearer before posting here. It was correct in my origina

Re: [NMusers] User defined likelihood function in POSTHOC estimation

2019-11-06 Thread Tingjie Guo
Hi Shan, Constant should have no influence on estimation, from my understanding. I've already omitted all constants terms. Thanks anyway for your information! Warm regards, Tingjie On Wed, Nov 6, 2019, at 13:22, Shan Pan wrote: > Dear Tingjie, > > I don't know the answer but this might be hel

Re: [NMusers] User defined likelihood function in POSTHOC estimation

2019-11-06 Thread Ruben Faelens
Hi Tingjie, You used METHOD=COND LAPLACE in the default posthoc estimate. Whether INTERACTION is implied depends on your version of NONMEM. Could you check? I do not entirely understand the following section: $ERROR IPRED = F ; Predicted DV ADDI = 5.76 ; Variance of additive error PROR = 0.039601

Re: [NMusers] User defined likelihood function in POSTHOC estimation

2019-11-06 Thread Shan Pan
Dear Tingjie, I don't know the answer but this might be helpful: see the link below on slide 3 and annotation on the right side. http://holford.fmhs.auckland.ac.nz/docs/modelling-likelihoods-using-nonmem-vi.pdf "*Actually its not quite - 2LL but proportional to it. It is missing a constant (-NOB