In this episode I discuss noncompartmental analysis. I categorize PK parameters calculated by NCA methods as either Important, Useful, or Questionable. I also share my thoughts on how to report PK parameters calculated using NCA methods in nonclinical and clinical reports. I want to hear your thoughts about this episode. Do you agree or disagree with my categorization of PK parameters? Why? Use the links below to let me know.

Links discussed in the show:

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In this episode I review the process I follow for fitting a base pharmacokinetic (PK) model. I talk from the perspective of an individual PK model, but include some differences associated with population PK models. I go over exploratory data analysis, getting initial estimates, and how to choose between different base models.

Links discussed in the show:

• AIC and BIC
• You can connect with me on LinkedIn and send me a message
• Send me a message
• Sign up for my newsletter

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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

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