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Project
Optimal causal learning using electronic health records
Information
Project Team
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Outputs & Impact
Publications & research data ( 7 )
On doubly robust inference for double machine learning in semiparametric regression
Oliver Dukes
Stijn Vansteelandt
David Whitney
A1
Journal Article
in
JOURNAL OF MACHINE LEARNING RESEARCH
2024
Assumption-lean cox regression
Stijn Vansteelandt
Oliver Dukes
Kelly Van Lancker
Torben Martinussen
A1
Journal Article
in
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
2024
Proximal mediation analysis
Oliver Dukes
Ilya Shpitser
Eric J Tchetgen Tchetgen
A1
Journal Article
in
BIOMETRIKA
2023
Ensuring valid inference for cox hazard ratios after variable selection
Kelly Van Lancker
Oliver Dukes
Stijn Vansteelandt
A1
Journal Article
in
BIOMETRICS
2023
Assumption‐lean inference for generalised linear model parameters
Stijn Vansteelandt
Oliver Dukes
A1
Journal Article
in
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
2022
On identification of the principal stratum effect in patients who would comply if treated
Oliver Dukes
Kelly Van Lancker
Björn Bornkamp
Dominik Heinzmann
Kaspar Rufibach
Marcel Wolbers
A1
Journal Article
in
STATISTICS IN BIOPHARMACEUTICAL RESEARCH
2021
Development and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe : a multicohort study
Taavi Tillmann
Kristi Läll
Oliver Dukes
Giovanni Veronesi
Hynek Pikhart
Anne Peasey
Ruzena Kubinova
Magdalena Kozela
Andrzej Pajak
Yuri Nikitin
et al.
A1
Journal Article
in
EUROPEAN HEART JOURNAL
2020
Activities ( 0 )
Results
Impact narratives ( 0 )
Patents ( 0 )