Prof. Suzanne Sindi will be presenting the attached/following paper in person (ACS 362C) and on our usual zoom link (https://ucmerced.zoom.us/j/98050375649?pwd=bFFYaFlJUG5TTVFNeStzaHBCS1grUT09)
Parameter identifiability and model selection for sigmoid population growth models. (Simpson et al,; Journal of Theoretical Biology, 2022)
Both concepts (identifiability and model selection) are critical to fitting models to data. This paper does a nice job giving an overview/tutorial in the context of sigmoidal models.
The authors very nicely provide code that performs the analyses they do in the paper on the lead authors’ GitHub (https://github.com/ProfMJSimpson/SigmoidGrowth).