From: Ayyappa Chaturvedula <*ayyappach*>

Date: Mon, 22 Mar 2021 11:01:47 -0500

This is a related article using Monte Carlo Power Mapping (MCPM) that I rece=

ntly used. It is time efficient and takes the spirit of simulation and LLR t=

est.

Vong C, Bergstrand M, Nyberg J, Karlsson MO. Rapid sample size calculations f=

or a defined likelihood ratio test-based power in mixed-effects models. AAPS=

J. 2012 Jun;14(2):176-86. doi: 10.1208/s12248-012-9327-8. Epub 2012 Feb 17.=

PMID: 22350626; PMCID: PMC3326172.

https://pubmed.ncbi.nlm.nih.gov/22350626/

Regards,

Ayyappa

*> On Mar 22, 2021, at 9:41 AM, Ken Kowalski <kgkowalski58 *

*>
*

*>
*

*> Hi Ibtihel,
*

*>
*

*> I think you are probably asking for covariance matrix of the parameter est=
*

imates. This should automatically be outputted as the .cov file assuming th=

at the $COV step runs successfully. Note that since NONMEM minimizes a func=

tion related to -2LL, the Hessian (R matrix) in NONMEM is equivalent to Fish=

er’s Informaton matrix. I know you can print the R matrix in the NO=

NMEM output and I assume this can also be outputted to a file…perhap=

s others might know

*>
*

*> I’ll leave it for you to decide whether you really want to perform=
*

power calculations say to design/justify a sample size to detect the covari=

ate effect using a Wald-based test as opposed to performing simulations and r=

elying on a likelihood ratio test.

*>
*

*> Ken
*

*>
*

*> Kenneth G. Kowalski
*

*> Kowalski PMetrics Consulting, LLC
*

*> Email: kgkowalski58 *

*> Cell: 248-207-5082
*

*>
*

*>
*

*>
*

*> From: owner-nmusers *

n Behalf Of Hammami, Ibtihel /FR

*> Sent: Monday, March 22, 2021 9:22 AM
*

*> To: nmusers *

*> Subject: [NMusers] Statistical power computation based on the wald test
*

*>
*

*> Hi,
*

*> We would like to compute a covariate inclusion statistical power based on=
*

the Wald test and using SE given by the fisher information matrix.

*> Is there any method to implement this directly in NONMEM or is there at le=
*

ast a way to output the Fisher Information matrix in NONMEM?

*>
*

*> Thank you.
*

*>
*

*>
*

*> Virus-free. www.avast.com
*

Received on Mon Mar 22 2021 - 12:01:47 EDT

Date: Mon, 22 Mar 2021 11:01:47 -0500

This is a related article using Monte Carlo Power Mapping (MCPM) that I rece=

ntly used. It is time efficient and takes the spirit of simulation and LLR t=

est.

Vong C, Bergstrand M, Nyberg J, Karlsson MO. Rapid sample size calculations f=

or a defined likelihood ratio test-based power in mixed-effects models. AAPS=

J. 2012 Jun;14(2):176-86. doi: 10.1208/s12248-012-9327-8. Epub 2012 Feb 17.=

PMID: 22350626; PMCID: PMC3326172.

https://pubmed.ncbi.nlm.nih.gov/22350626/

Regards,

Ayyappa

imates. This should automatically be outputted as the .cov file assuming th=

at the $COV step runs successfully. Note that since NONMEM minimizes a func=

tion related to -2LL, the Hessian (R matrix) in NONMEM is equivalent to Fish=

er’s Informaton matrix. I know you can print the R matrix in the NO=

NMEM output and I assume this can also be outputted to a file…perhap=

s others might know

power calculations say to design/justify a sample size to detect the covari=

ate effect using a Wald-based test as opposed to performing simulations and r=

elying on a likelihood ratio test.

n Behalf Of Hammami, Ibtihel /FR

the Wald test and using SE given by the fisher information matrix.

ast a way to output the Fisher Information matrix in NONMEM?

Received on Mon Mar 22 2021 - 12:01:47 EDT