RE: Successful minimization and covariance

From: Gianluca Nucci Date: May 24, 2012 technical Source: mail-archive.com
I would not worry about the validity of your bootstrapped CI (and I would include all the runs) but I think you have to worry that your model is seriously over-parameterized if 60% of bootstrapped runs fail to converge. It does not mean it is a bad model - just that the data does not permit to fit all the parameters and you should consider fixing something, or use prior information or add data from more intensively sampled studies. Best Regards Gianluca Gianluca Nucci, PhD Clinical Pharmacology Pfizer PharmaTherapeutics R&D 620 Memorial Drive, Cambridge, MA 02139 Room # 464 Office 617-551-3525 Mobile 860-405-4824 Fax 860-686-8225
Quoted reply history
From: [email protected] [mailto:[email protected]] On Behalf Of Ayyappa Chaturvedula Sent: Thursday, May 24, 2012 8:33 AM To: [email protected] Subject: [NMusers] Successful minimization and covariance Dear Group, This is a topic that has been discussed and different schools of thinking exist to my knowledge. But, I want to restate my case and get some opinions. The question is about how important to have successful minimization and covariance if diagnostics make sense. I have developed a two compartment model with a Phase 3 trial data and minimization was successful but covariance step was not. I went ahead and did a 1000 run bootstrap and wanted to get the confidence intervals of parameters. There are 60% runs that are not successfully minimized and many other do not have covariance step successful. I put together CI from the runs that have successful minimization and also including all 1000 runs. There is no difference in the parameter estimate or the confidence interval (less than 5% change in numbers). The model diagnostics look good including VPC, NPDE plots, basic gof and a simulation to explain another trial data. Now, my question is in this particular case do I have to worry further to make the successful covariance step and increase the number of runs that gets successfully minimized in the bootstrap even though I cannot see much difference in the parameter estimates, diagnostics? My bottom line is not going to change in anyway. I appreciate your expert opinions. Regards, Ayyappa
May 24, 2012 Ayyappa Chaturvedula Successful minimization and covariance
May 24, 2012 Nick Holford Re: Successful minimization and covariance
May 24, 2012 Gianluca Nucci RE: Successful minimization and covariance
May 24, 2012 Fisher Dennis Re: RE: Successful minimization and covariance
May 24, 2012 Mark Sale RE: RE: Successful minimization and covariance
May 24, 2012 Unknown Re: Successful minimization and covariance
May 24, 2012 Kenneth Kowalski RE: Successful minimization and covariance
May 24, 2012 Erik Olofsen RE: Successful minimization and covariance