Search Results for author: Ewout W. Steyerberg

Found 3 papers, 3 papers with code

The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approach

1 code implementation10 Feb 2022 Shubhayu Bhattacharyay, Ioan Milosevic, Lindsay Wilson, David K. Menon, Robert D. Stevens, Ewout W. Steyerberg, David W. Nelson, Ari Ercole, the CENTER-TBI investigators/participants

We analysed the effect of 2 design elements on ordinal model performance: (1) the baseline predictor set, ranging from a concise set of 10 validated predictors to a token-embedded representation of all possible predictors, and (2) the modelling strategy, from ordinal logistic regression to multinomial deep learning.

Decision Making

A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases

2 code implementations13 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.

Impact of predictor measurement heterogeneity across settings on performance of prediction models: a measurement error perspective

1 code implementation27 Jun 2018 Kim Luijken, Rolf H. H. Groenwold, Ben van Calster, Ewout W. Steyerberg, Maarten van Smeden

Although such heterogeneity in predictor measurement across derivation and validation samples is very common, the impact on the performance of prediction models at external validation is not well-studied.

Methodology 97K80

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