Re: [NMusers] OFV by endpoint of joint models?

al > *Sent:* den 11 oktober 2022 11:44 > *To:* Mats Karlsson > *Cc:* Stephen Duffull ; Jeroen > Elassaiss-Schaap (PD-value) ; nmusers@globomaxnm.com > *Subject:* Re: [NMusers] OFV by endpoint of joint models? > > > > Thanks Mats, > > Sounds great and like a lot of wo

Re: [NMusers] OFV by endpoint of joint models?

er 2022 21:56 *To:* Jeroen Elassaiss-Schaap (PD-value) *Cc:* Matts Kågedal ; nmusers@globomaxnm.com *Subject:* RE: [NMusers] OFV by endpoint of joint models? HI Jeroen I tested this with additive error (i.e. interaction has no influence) and combined.  Rank order was not

Re: [NMusers] OFV by endpoint of joint models?

learn some about the quality >> of the model with respect to variable A, variable B and their joint >> distribution in describing the real data. >> >> >> >> Best regards, >> >> Mats >> >> *From:* owner-nmus...@globomaxnm.com *On >> Beha

Re: [NMusers] OFV by endpoint of joint models?

-nmus...@globomaxnm.com *On > Behalf Of *Stephen Duffull > *Sent:* den 10 oktober 2022 21:56 > *To:* Jeroen Elassaiss-Schaap (PD-value) > *Cc:* Matts Kågedal ; nmusers@globomaxnm.com > *Subject:* RE: [NMusers] OFV by endpoint of joint models? > > > > HI Jeroen >

RE: [NMusers] OFV by endpoint of joint models?

nm.com<mailto:nmusers@globomaxnm.com> Subject: Re: [NMusers] OFV by endpoint of joint models? Hi Matts, The easiest way to assess is when one of two endpoints is modeled directly (TTE, logistic regression) as often is the case, than look at the Y value for those endpoints, as reported in

Re: [NMusers] OFV by endpoint of joint models?

alf > Of Jeroen Elassaiss-Schaap (PD-value B.V.) > Sent: Tuesday, 11 October 2022 4:07 am > To: Matts Kågedal ; nmusers@globomaxnm.com > Subject: Re: [NMusers] OFV by endpoint of joint models? > > Hi Matts, > > The easiest way to assess is when one of two endpoints i

RE: [NMusers] OFV by endpoint of joint models?

-Schaap (PD-value B.V.) Sent: Tuesday, 11 October 2022 4:07 am To: Matts Kågedal ; nmusers@globomaxnm.com Subject: Re: [NMusers] OFV by endpoint of joint models? Hi Matts, The easiest way to assess is when one of two endpoints is modeled directly (TTE, logistic regression) as often is the case

Re: [NMusers] OFV by endpoint of joint models?

Thanks all for input! Maria, is this implemented in PsN by any chance? Best, Matts On Mon, Oct 10, 2022 at 5:23 PM Matthew Fidler wrote: > Hi Jakob, > > You are right. I guess the next best solution is to get information > from a direct calculation of the likelihood at each point. It won't >

Re: [NMusers] OFV by endpoint of joint models?

Hi Jakob, You are right. I guess the next best solution is to get information from a direct calculation of the likelihood at each point. It won't match the OBJI directly since it does not include the contribution from the individual eta hessians. There is a phi() function in NONMEM that can

Re: [NMusers] OFV by endpoint of joint models?

Hi Matt, That would work in case you had one subset of subjects with observations of one endpoint, and another subset of subjects with observations of a different endpoint - e.g. one study with only PK samples and another study with only PD samples. But in such a setting there would not be

Re: [NMusers] OFV by endpoint of joint models?

Hi Matts, The easiest way to assess is when one of two endpoints is modeled directly (TTE, logistic regression) as often is the case, than look at the Y value for those endpoints, as reported in the PRED variable. The sum of those values is the ofv, or proportional to it, for that particular

Re: [NMusers] OFV by endpoint of joint models?

Hi Matts, You can use the table item OBJI and sum over each ID to get any subset you want. Matt On Mon, Oct 10, 2022, 9:12 AM Matts Kågedal wrote: > Hi all, > I have a question related to the objective function value when multiple > endpoints are modelled jointly. Specifically I would like