Episode 44 · April 21, 2025 · 26 min

44: Different estimation methods used in modeling (Ep. 44)

Speed

In this episode I discuss different algorithms used for pharmacometrics modeling. I describe difference between maximum likelihood and expectation maximization methods. I review the FO and FOCEI maximum likelihood algorithms. I then review SAEM, IMP, and QRPEM expectation maximization algorithms that are available. I conclude with an brief explanation of the difference between parameter estimation and parameter uncertainty.

Links discussed in the show:

PMXRepo
James Ousey LinkedIn page
Manuscript by Liu and Wang, 2016
You can connect with me on LinkedIn and send me a message
Send me a message
Sign up for my newsletter

Ep 49Sep 22, 202525 min
Statistics in Pharmacokinetics (Ep. 49)
In this episode I discuss review statistics that are commonly used in pharmacokinetics and pharmacometrics work. I reviewed the basic theory of the normal distribution and then discussed various…
Ep 36Oct 28, 202427 min
Covariate Search Methods (Ep. 36)
This episode is a discussion of covariate search methods. I give definitions of covariates and predictors, and then I describe 3 different covariate search methods. For each method I describe the…
Ep 31Aug 12, 202431 min
What should you use to present PK results? (Ep. 31)
In this episode I discuss different methods of presenting pharmacokinetic and pharmacometrics results. I spoke about using PowerPoint and R Markdown derived HTML files. While I prefer HTML files in…

Never miss an episode

All episodes are free. Listen on your favorite platform.

44: Different estimation methods used in modeling (Ep. 44)

Related episodes

Statistics in Pharmacokinetics (Ep. 49)

Covariate Search Methods (Ep. 36)

What should you use to present PK results? (Ep. 31)

Never miss an episode