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Builder

Philippe Boileau

Assistant Professor of Biostatistics at McGill University

Followers

25

Public repos

28

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6

Ecosystems

1

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Repositories this builder owns.

Causal Machine Learning Methods for Differential Variability Analyses in R

5

2026_ACIC_contributed-talk_differential-variance

Slides for "Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection" presented at ACIC 2026

presentation_2026_PRIME-AI-ML_diff-var

Invited talk titled "Detecting Heterogeneous Treatment Effects in Clinical Trials with Differential Variance Methods" at PRIME AI/ML workshop

1

presentation_CORE-EBOH-joint-seminar_2026_diff-var

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Presentation of "Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection" in Joint CORE/EBOH 2026 Seminar Series

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presentation_2025_UofT-invited-talk_diff-var

Slides for U of T Talk: "Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection"

presentation_2025_STATQAM_differential-variance

Invited talk entitled "Causal Machine Learning of Differential Variance for Heterogeneous Treatment Effect Detection" for Séminaire STATQAM, November 2025

pub_differential-variance-simulations

Code for Simulations in "Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection"

presentation_2025_CSEB_NDE-unmeasured-confounding

Contributed Presentation at CSEB 2025 entitled "Identifying direct causal effects under unmeasured exposure-mediator confounding"

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Most recently pushed work.

PhilBoileau/cmldiffvar
pushed 21d ago
PhilBoileau/2026_ACIC_contributed-talk_differential-variance
pushed 1mo ago
PhilBoileau/presentation_2026_PRIME-AI-ML_diff-var
pushed 5mo ago
PhilBoileau/presentation_CORE-EBOH-joint-seminar_2026_diff-var
pushed 5mo ago