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37: Dose Proportionality (Ep. 37)

In this episode I talk about dose proportionality, which is a surrogate for determining if we have linear clearance across a range of dose levels. I discuss 3 different methods that people use to determine dose proportionality along with a recommendation to use the power model method. Links discussed in the show: Power model method…

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36: 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 pros and cons associated with each one, including bias and time limitations. Links discussed in the show: Evaluation of the Boruta method for covariate…

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35: Stimulatory Indirect Response PK-PD Models (Ep. 35)

In this episode I describe stimulatory indirect response PK-PD models. I describe how they work, how to set up the dataset for NONMEM, and how to code the model in NONMEM. This is the last of 4 episodes on different PK-PD models. Links discussed in the show: Indirect response PK-PD model equations Example NONMEM code…

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34: Inhibitory Indirect Response PK-PD Models (Ep. 34)

In this episode I describe inhibitory indirect response PK-PD models. I describe how they work, how to set up the dataset for NONMEM, and how to code the model in NONMEM. This is the third of 4 episodes on different PK-PD models. Links discussed in the show: Indirect response PK-PD model equations Example NONMEM code…

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33: Effect compartment PK-PD models (Ep. 33)

In this episode I describe effect compartment PK-PD models. I describe how they work, a method of creating exploratory plots, how to set up the dataset for NONMEM, and how to code the model in NONMEM. This is the 2nd of 4 episodes on different PK-PD models. Links discussed in the show: Example NONMEM code…

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32: Direct effect PKPD models (Ep. 32)

In this episode I describe direct effect PK-PD models. I describe how they work, a method of creating exploratory plots to identify direct effect models, how to set up the dataset for NONMEM, and how to code the model in NONMEM. This is the first of 4 episodes on different PK-PD models. Links discussed in…

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31: 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 nearly all cases, I appreciate that sometimes PowerPoint format is required by some companies. I included multiple suggestions for both PowerPoint and HTML files that…

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30: How important is terminal rate constant? (Ep. 30)

This episode covers the terminal elimination rate constant calculated using non-compartmental analysis techniques. I reviewed how the rate constant is used to estimate half-life and extrapolate AUC to infinity, reviewed the methods for calculating the terminal rate constant value, and some important points about sample selection. Finally, I gave my reasons that we should ultimately…

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29: Parellelization in modeling (Ep. 29)

This episode covered parallelization in modeling analyses. I spoke about across model parallelization and within model parallelization. I recommended some approaches for choosing how many cores to use in parallelization and also discussed different modeling computer systems you can use. Links discussed in the show: You can connect with me on LinkedIn and send me…

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28: Residual errors and submission packages (Ep. 28)

Today I covered 2 different topics. First, I spoke about residual error models when modeling. I discussed additive, proportional, and power models. I also reviewed combined models and when they can be helpful. Then I spoke about modeling report submission packages. I explained what I put in those packages, how they are used, and some…

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