How to select predictive models for decision-making or causal inference

When predictive models are used to explain the effect of an intervention, they must be evaluated with different procedures than standard predictive settings, using the $R\text{-risk}$ from causal inference.

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Publication Details

Journal
GigaScience
Published
2025-01-01
DOI
https://doi.org/10.1093/gigascience/giaf016
Citations
1
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
2.63
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article

How to select predictive models for decision-making or causal inference

Matthieu Doutreligne, Gaël Varoquaux
1 citations
GigaScience
Advanced Causal Inference Techniques
2.63
article

How to select predictive models for decision-making or causal inference

Matthieu Doutreligne, Gaël Varoquaux
article en
1 citations

Abstract

When predictive models are used to explain the effect of an intervention, they must be evaluated with different procedures than standard predictive settings, using the $R\text{-risk}$ from causal inference.

GigaScienceVol. 14
Santé Publique France (FR), Centre Inria de Saclay (FR)
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Advanced Causal Inference Techniques
2.63
DOIOpen Access PDFOpenAlex
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How to select predictive models for decision-making or causal inference — Matthieu Doutreligne, Gaël Varoquaux · GigaScience (2025) | TGRS Research Map | TGRS