Re: Statistical power computation based on the wald test

> On Mar 22, 2021, at 9:41 AM, Ken Kowalski <[email protected]> wrote: > >  > Hi Ibtihel, > > I think you are probably asking for covariance matrix of the parameter > estimates. This should automatically be outputted as the .cov file assuming > that the $COV step runs successfully. Note that since NONMEM minimizes a > function related to -2LL, the Hessian (R matrix) in NONMEM is equivalent to > Fisher’s Informaton matrix. I know you can print the R matrix in the NONMEM > output and I assume this can also be outputted to a file…perhaps 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 covariate > effect using a Wald-based test as opposed to performing simulations and > relying on a likelihood ratio test. > > Ken > > Kenneth G. Kowalski > Kowalski PMetrics Consulting, LLC > Email: [email protected] > Cell: 248-207-5082 > > > > From: [email protected] [mailto:[email protected]] On > Behalf Of Hammami, Ibtihel /FR > Sent: Monday, March 22, 2021 9:22 AM > To: [email protected] > 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 least > a way to output the Fisher Information matrix in NONMEM? > > Thank you. > > > Virus-free. www.avast.com