1 code implementation • 29 Nov 2023 • Ethan Harvey, Wansu Chen, David M. Kent, Michael C. Hughes
Practitioners building classifiers often start with a smaller pilot dataset and plan to grow to larger data in the near future.
1 code implementation • 28 Apr 2021 • Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes
We develop an Approximate Bayesian Computation approach that draws samples from the posterior distribution over the model's transition and duration parameters given aggregate counts from a specific location, thus adapting the model to a region or individual hospital site of interest.
2 code implementations • 13 Oct 2020 • Alexandros Rekkas, David van Klaveren, Patrick B. Ryan, Ewout W. Steyerberg, David M. Kent, Peter R. Rijnbeek
The Predictive Approaches to Treatment Effect Heterogeneity statement focused on baseline risk as a robust predictor of treatment effect and provided guidance on risk-based assessment of treatment effect heterogeneity in the RCT setting.
