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IV-learner: learning conditional average treatment effects using instrumental variables

Biostatistics
Summary A live clinical question is: which patients benefit from intensive care unit (ICU) transfer? Motivated by this question we address the problem of estimating conditional average treatment effects (CATE) in the presence of unmeasured confounding, by leveraging instrumental variables (IVs).
Stijn Vansteelandt   +3 more
openaire   +2 more sources

Mediation, Moderation, and Conditional Process Analysis: Concepts, Computations, and Some Common Confusions

Spanish Journal of Psychology, 2021
Andrew F. Hayes, Juan-José Igartua
exaly  

A Primer on the Conditional Mediation Analysis in PLS-SEM

Data Base for Advances in Information Systems, 2021
Jun-Hwa Cheah   +2 more
exaly  

The Probability of Conditionals: A Review

Psychonomic Bulletin and Review, 2022
Miguel López-Astorga   +2 more
exaly  

Conditional Moment Closure for Turbulent Combustion

Progress in Energy and Combustion Science, 1999
A Y Klimenko, R W Bilger
exaly  

A Conditional Reasoning Measure for Aggression

Organizational Research Methods, 2005
James M LeBreton   +2 more
exaly  

The Probability of Causal Conditionals

Cognitive Psychology, 2007
Steven A Sloman   +2 more
exaly  

Conditional Selection of Genomic Alterations Dictates Cancer Evolution and Oncogenic Dependencies

Cancer Cell, 2017
Daniele Tavernari   +2 more
exaly  

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