40 citations · 72 across the 3 of their papers we have counts for
3 papers
Decision curve analysis for personalized treatment choice between multiple options
Konstantina Chalkou, Andrew J. Vickers, Fabio Pellegrini +2
Decision curve analysis can be used to determine whether a personalized model for treatment benefit would lead to better clinical decisions. Decision curve analysis methods have be…
A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis
Konstantina Chalkou, Ewout Steyerberg, Matthias Egger +3
Treatment effects vary across different patients and estimation of this variability is important for clinical decisions. The aim is to develop a model to estimate the benefit of al…
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data
Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto +2
While sample sizes in randomized clinical trials are large enough to estimate the average treatment effect well, they are often insufficient for estimation of treatment-covariate i…