Clinical Pharmacology Podcast with Nathan Teuscher

• 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:PMXRepoJames Ousey LinkedIn pageManuscript by Liu and Wang, 2016You can connect with me on LinkedIn and send me a messageSend me a messageSign up for my newsletterCopyright Teuscher Solutions LLCAll Rights Reserved

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• What is consulting life like? (Ep. 43)

  In this episode I discuss my experience as an independent consultant in the clinical pharmacology and pharmacometrics space. I talk about how I got from high school to become a consultant. I touched on the many different activities I do as an independent consultant. I shared a bit about how I handle compensation with clients and how I pay myself. And I ended with some brief comments about getting customers. Links discussed in the show:Time management with Clockify Accounting and invoices with Wave Project management with Jira Project notes with Confluence Computing resources with AWS Microsoft 365 for email, sharepoint, and more as a small business Profit First You can connect with me on LinkedIn and send me a message Send me a message Sign up for my newsletter Copyright Teuscher Solutions LLCAll Rights Reserved

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• Population PK modeling with nlmixr (Ep. 42)

  In this episode I discuss using nlmixr for population PK modeling in R. I give an overview of the software package, describe the installation process, and walk through a simple example. Overall, nlmixr is a nice package that can be used for most modeling activities you encounter. It eliminates the need for a license since it is open-source. There are some challenges associated with using R for modeling with large datasets and long-running models. But once those are overcome, this could be a great package for all-around use. Links discussed in the show: nlmixr website nlmixr on github Example R code – remove the .txt file type after download You can connect with me on LinkedIn and send me a message Send me a message Sign up for my newsletterCopyright Teuscher Solutions LLCAll Rights Reserved

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• Sample size calculations (Ep. 41)

  In this episode I discuss power calculations using the R package PowerTOST. I gave an introduction to power calculations and the statistical premise. I reviewed bioequivalence study designs that are commonly used for generic drug development, food effect evaluation, and drug-drug interaction studies. Links discussed in the show: PowerTOST R package PowerTOST instructions (scroll down to the Read Me information) Example R code (Change the filetype to .R after downloading) Statistical Power Statistical approaches to establishing Bioequivalence from FDA Calculation of CV 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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• Collaboration with BioTalk Unzipped (Ep. 40)

  In this episode I share a couple short clips from my conversation with Chad Briscoe and Greg Austin from BioTalk Unzipped (www.biotalkunzipped.com). We chat about a variety of topics including artificial intelligence and challenges with cell therapy development. You can hear the entire conversation on the BioTalk Unizipped podcast or YouTube channel in January. For now, enjoy these clips from the upcoming show! Links discussed in the show: BioTalk Unzipped main page BioTalk Unzipped YouTube channel 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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