Very fortunate to have had the pleasure to work with this amazing team. As nations rely on model-based forecasting and nowcasting, the timing of this review of calibration of models to epidemiological data is perfect #PLOSCompBio: https://t.co/dXOof6gWW4
Hi #epitwitter, if I could only check out one model for a local (national) COVID epidemic, for which the source code is available, which one would you point me to and why? PS I'm looking for the best not the most noteworthy for other reasons.
A new blog post on why the pursuit of better solutions to pressing problems should motivate and drive the data and decision science that can ultimately turn big data into big payouts. https://t.co/D6bdXluuA4
Justice Edwin Cameron, academic, jurist, author and recently retired Constitutional Court judge, was elected to the office of Chancellor of Stellenbosch University (SU) today. Justice Cameron, is a SU alumnus and a recipient of a SU honorary doctorate. https://t.co/og5YE1Td6s
@ProfMattFox Building on what @EpiCandice is suggesting: I don’t think we can define incidence for things we don’t consider “to be at risk of”. E.g. being male, being white. Also for “being 30-40 years old” incidence doesn’t make sense because we don’t think of it as a chance process.
Join the School for Data Science and Computational Thinking’s monthly Connect event for an overview of past, and a preview of planned activities. (And free snacks and drinks) Friday 6 September 14:30 https://t.co/0c2XJpzRzL
And related to this: a term for the bias that arises when the fitted model reproduces the data well on average, but the simulated data has a variance that is too high or too low, compared to the variance of the empirical data? Apologies if I am asking a naive question here.
Dear #epitwitter community, is there a well established term for a form of bias that arises from a model that is poorly fitted to the data in the sense that when the model is used to reproduce the data, it systematically produces values that are too high or too low?
@ProfMattFox Ask students and colleagues who were not part of the paper if they can reproduce the analysis and results. Do whatever is in your power until their answer is yes.
Useful tips in this article, but the value of engaging with the popular media remains understated. Communicating science to policymakers: six strategies for success https://t.co/ddImqzkYok.