RE: [EXTERNAL] RE: Statistical power computation based on the wald test

From: Kenneth Kowalski Date: March 24, 2021 technical Source: mail-archive.com
Hi Bob, Just a point of clarification. If the default sandwich estimator is used to estimate the covariance matrix then the .coi file outputs the inverse of this sandwich estimator, ie., R(S^-1)R …correct? If so, and maybe this is just semantics but I don’t think we would refer to R(S^-1)R as the Fisher information matrix. However, both R and S can be considered equivalent FIM under certain regularity conditions. Nevertheless, if one wanted to determine a D-optimal design I suppose maximizing the determinant of R(S^-1)R could be a reasonable thing to do. Your thoughts? Ken Kenneth G. Kowalski Kowalski PMetrics Consulting, LLC Email: <mailto:[email protected]> [email protected] Cell: 248-207-5082
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From: [email protected] [mailto:[email protected]] On Behalf Of Bauer, Robert Sent: Wednesday, March 24, 2021 2:18 PM To: [email protected] Subject: RE: [EXTERNAL] RE: [NMusers] Statistical power computation based on the wald test Hello all: I would just like to add some information to help the discussion along. In addition to the variance-covariance matrix that is outputted in the .cov file that Ken mentioned, the Fisher information matrix itself (inverse of variance-covariance) is also outputted in the .coi file. Additional files, such as .rmt (R matrix), and .smt (S matrix) are also outputted upon user request ($COV PRINT=RS, for example) A test related to Wald and log-likelihood ratio tests is the Lagrange Multiplier test. For this purpose, NONMEM outputs the following in the .ext file: Iteration -1000000008 lists the partial derivative of the log likelihood (-1/2 OFV) with respect to each estimated parameter. PFIM, POPED, and NONMEM’s $DESIGN calculate the expected FIM with respect to the data, and the expected value R matrix is equivalent to the expected value of the S matrix. That is, Ey(R)= Ey(S). Several companion/interface software to NONMEM have additional model evaluation facilities, such as stepwise covariate model (scm) building in Perl Speaks NONMEM, and Wald test in PDxPop. Robert J. Bauer, Ph.D. Senior Director Pharmacometrics R&D ICON Early Phase 820 W. Diamond Avenue Suite 100 Gaithersburg, MD 20878 Office: (215) 616-6428 Mobile: (925) 286-0769 [email protected] <mailto:[email protected]> www.iconplc.com http://www.iconplc.com
Mar 22, 2021 Ibtihel -fr Hammami Statistical power computation based on the wald test
Mar 22, 2021 Ibtihel Hammami Statistical power computation based on the wald test
Mar 22, 2021 Jakob Ribbing Re: Statistical power computation based on the wald test
Mar 22, 2021 Kenneth Kowalski RE: Statistical power computation based on the wald test
Mar 22, 2021 Ayyappa Chaturvedula Re: Statistical power computation based on the wald test
Mar 24, 2021 Robert Bauer RE: [EXTERNAL] RE: Statistical power computation based on the wald test
Mar 24, 2021 Kenneth Kowalski RE: [EXTERNAL] RE: Statistical power computation based on the wald test
Mar 24, 2021 Kenneth G. Kowalski Re: [EXTERNAL] RE: Statistical power computation based on the wald test