Aah – I see that I misunderstood Santosh’s question.  I thought Santosh was 
asking about reporting standard errors at each iteration step within the 
estimation algorithm.

 

Best,

 

Ken

 

From: Leonid Gibiansky <lgibian...@quantpharm.com> 
Sent: Saturday, July 27, 2024 4:18 PM
To: Ken Kowalski <kgkowalsk...@gmail.com>
Cc: Santosh <santosh2...@gmail.com>; nmusers <nmusers@globomaxnm.com>
Subject: Re: [NMusers] Obtaining RSE%

 

It can be done if you add extra $cov statement after each estimation method 
record

Thank you

Leonid

 

 

On Sat, Jul 27, 2024, 12:47 PM <kgkowalsk...@gmail.com 
<mailto:kgkowalsk...@gmail.com> > wrote:

Dear Santosh,

 

There is a good reason for this.  Wald (1943) has shown that the inverse of the 
Hessian (R matrix) evaluated at the maximum likelihood estimates is a 
consistent estimator of the covariance matrix.  It is based on Wald’s 
approximation that the likelihood surface locally near the maximum likelihood 
estimates can be approximated by a quadratic function in the parameters.  This 
theory does not hold for any set of parameter estimates along the algorithm’s 
search path prior to convergence to the maximum likelihood estimates.  
Moreover,  inverting the Hessian evaluated at an interim step prior to 
convergence would likely be a poor approximation especially early in the search 
path where the gradients are large (i.e., large changes in OFV for a given 
change in the parameters would probably have substantial curvature and not be 
well approximated by a quadratic model in the parameters).

 

Thus, the COV step in NONMEM is only applied once convergence is obtained 
during the EST step.

 

Wald, A. “Tests of statistical hypotheses concerning several parameters when 
the number of observations is large.” Trans. Amer. Math. Soc. 1943;54:426.

 

Best,

 

Ken

 

Kenneth G. Kowalski

President

Kowalski PMetrics Consulting, LLC

Email: kgkowalsk...@gmail.com <mailto:kgkowalsk...@gmail.com> 

Cell:  248-207-5082

 

 

From: owner-nmus...@globomaxnm.com <mailto:owner-nmus...@globomaxnm.com>  
<owner-nmus...@globomaxnm.com <mailto:owner-nmus...@globomaxnm.com> > On Behalf 
Of Santosh
Sent: Friday, July 26, 2024 3:38 AM
To: nmusers@globomaxnm.com <mailto:nmusers@globomaxnm.com> 
Subject: [NMusers] Obtaining RSE%

 

 Dear esteemed experts!

When using one or more estimation methods & covariance step in a NONMEM control 
stream, the resulting ext file contains final estimate (for all estimation 
steps)  & standard error (only for the last estimation step). 

 

Is there a way that standard error is generated for every estimation step?

 

TIA

Santosh 

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