Research Explorer

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Project

Assumption-Lean (Causal) Modelling and Estimation: A Paradigm Shift from Traditional Statistical Modelling

Outputs & Impact

Publications & research data ( 4 )

Discussion of "On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching"

Stijn VansteelandtJohan Steen

Editorial material

Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effects

Stijn Vansteelandt

A1 Journal Article in BIOMETRICS

Orthogonal prediction of counterfactual outcomes

Stijn VansteelandtPawel Morzywolek

A1 Journal Article in JOURNAL OF CAUSAL INFERENCE

Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data

Matthew PryceKarla Diaz-OrdazRuth H. KeoghStijn Vansteelandt

A1 Journal Article in BIOMETRICS

Activities ( 0 )

Results

Impact narratives ( 0 )

Patents ( 0 )