Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kent, David M."'
Autor:
van Leeuwen, Florian D., Steyerberg, Ewout W., van Klaveren, David, Wessler, Ben, Kent, David M., van Zwet, Erik W.
Background: External validations are essential to assess clinical prediction models (CPMs) before deployment. Apart from model misspecification, differences in patient population and other factors influence a model's AUC (c-statistic). We aimed to qu
Externí odkaz:
http://arxiv.org/abs/2406.08628
Autor:
Rekkas, Alexandros, Rijnbeek, Peter R., Kent, David M., Steyerberg, Ewout W., van Klaveren, David
Objective: To compare different risk-based methods for optimal prediction of treatment effects. Methods: We simulated RCT data using diverse assumptions for the average treatment effect, a baseline prognostic index of risk (PI), the shape of its inte
Externí odkaz:
http://arxiv.org/abs/2205.01717
Autor:
Visani, Gian Marco, Lee, Alexandra Hope, Nguyen, Cuong, Kent, David M., Wong, John B., Cohen, Joshua T., Hughes, Michael C.
We address the problem of modeling constrained hospital resources in the midst of the COVID-19 pandemic in order to inform decision-makers of future demand and assess the societal value of possible interventions. For broad applicability, we focus on
Externí odkaz:
http://arxiv.org/abs/2105.00773
Autor:
Rekkas, Alexandros, van Klaveren, David, Ryan, Patrick B., Steyerberg, Ewout W., Kent, David M., Rijnbeek, Peter R.
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. The aim of t
Externí odkaz:
http://arxiv.org/abs/2010.06430