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Different estimation methods used in modeling (Ep. 44)
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
Copyright Teuscher Solutions LLC
All Rights Reserved
View all episodes
By Nathan Teuscher
5
2828 ratings
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
Copyright Teuscher Solutions LLC
All Rights Reserved
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