This episode is a discussion on model evaluation and selection. I discussed diagnostic plots using predictions and residuals. I covered approaches for model selection and factors to consider. The focus of this episode is on models that predict continuous endpoints like drug concentration, biomarkers, or other continuous endpoints. Several figures are mentioned in the podcast and links to those images can be found below.
Links discussed in the show:
- Figure 1: Observed vs Predicted for single-subject model (example of a good model fit). Figure generated using ggplot in R.
- Figure 2: Observed vs Predicted for single-subject model (example of a poor model fit) using logarithmic scales. Figure generated using ggplot in R.
- Figure 3: Observed vs Population and Individual Predicted for population model. Figures generated using ggCertara package in R.
- Figure 4: Weighted residuals versus time, time after dose, and population prediction for population model. Figures generated using ggCertara package in R.
- You can connect with me on LinkedIn and send me a message
- Do you need help with model selection? Send me a message
- Sign up for my newsletter
Copyright Teuscher Solutions LLC
All Rights Reserved
Popular Podcasts
Dateline NBC
Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations.
Stuff You Should Know
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks, then look no further. Josh and Chuck have you covered.
The Nikki Glaser Podcast
Every week comedian and infamous roaster Nikki Glaser provides a fun, fast-paced, and brutally honest look into current pop-culture and her own personal life.