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08/10/2023
Optimally weighted average derivative effects
Inference for weighted average derivative effects (WADEs) usually relies...
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06/26/2023
Challenges and Opportunities of Shapley values in a Clinical Context
With the adoption of machine learning-based solutions in routine clinica...
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06/26/2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
Predictive black-box models can exhibit high accuracy but their opaque n...
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04/29/2023
Dynamic Updating of Clinical Survival Prediction Models in a Rapidly Changing Environment
Over time, the performance of clinical prediction models may deteriorate...
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04/12/2022
Variable importance measures for heterogeneous causal effects
The conditional average treatment effect (CATE) of a binary exposure on ...
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09/27/2021
Parameterising the effect of a continuous exposure using average derivative effects
The (weighted) average treatment effect is commonly used to quantify the...
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07/01/2021
Demystifying statistical learning based on efficient influence functions
Evaluation of treatment effects and more general estimands is typically ...
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06/24/2021
On Locality of Local Explanation Models
Shapley values provide model agnostic feature attributions for model out...
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12/21/2020
How to estimate the association between change in a risk factor and a health outcome?
Estimating the effect of a change in a particular risk factor and a chro...
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07/01/2020