PhilBoileau/simChef-case-study
Using simChef R package to recreate the simulation study of "A flexible approach to predictive biomarker discovery" by Boileau et al.
Assistant Professor of Biostatistics at McGill University
Repositories
PhilBoileau/2026_ACIC_contributed-talk_differential-variance
Slides for "Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection" presented at ACIC 2026
PhilBoileau/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
PhilBoileau/ACIC-2022_ndeconf-poster
Poster and Abstract for "Identifying Direct Causal Effects Under Unmeasured Confounding" Presented at ACIC 2022
PhilBoileau/cmldiffvar
Causal Machine Learning Methods for Differential Variability Analyses in R
PhilBoileau/presentation_CORE-EBOH-joint-seminar_2026_diff-var
Presentation of "Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection" in Joint CORE/EBOH 2026 Seminar Series
PhilBoileau/presentation_2025_UofT-invited-talk_diff-var
Slides for U of T Talk: "Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection"
PhilBoileau/presentation_2025_STATQAM_differential-variance
Invited talk entitled "Causal Machine Learning of Differential Variance for Heterogeneous Treatment Effect Detection" for Séminaire STATQAM, November 2025
PhilBoileau/pub_differential-variance-simulations
Code for Simulations in "Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection"
PhilBoileau/cvCovEst
An R package for nonparametric covariance matrix estimation in high dimensions
PhilBoileau/presentation_2025_CSEB_NDE-unmeasured-confounding
Contributed Presentation at CSEB 2025 entitled "Identifying direct causal effects under unmeasured exposure-mediator confounding"
PhilBoileau/2025_WNAR2025_contributed-talk_TEM-VIPs
Material for WNAR 2025 Contributed Talk
PhilBoileau/2025_SSC2025_contributed-talk_TEM-VIPs
Contributed Talk at SSC 2025: "A nonparametric framework for treatment effect modifier discovery in high dimensions"
PhilBoileau/2025_ACIC-2025_contributed-poster_ITR-in-HD-guidance
Contributed poster at ACIC 2025, titled "Guidance on Individualized Treatment Rule Estimation in High Dimensions"
PhilBoileau/pub_guidance-on-ITR-estimation-in-HD
Code for "Guidance on Individualized Treatment Rule Estimation in High Dimensions" by Boileau et al.
PhilBoileau/scPCA
A toolbox for sparse contrastive principal component analysis
PhilBoileau/EHDBDscPCA
Exploring High-Dimensional Biological Data with Sparse Contrastive Principal Component Analysis
PhilBoileau/ACIC-2023_unihtee
ACIC 2023 Presentation: A Nonparametric Framework for Treatment Effect Modifier Discovery in High Dimensions
PhilBoileau/pub_temvip-framework
Code for reproducing results in "A nonparametric framework for treatment effect modifier discovery in high dimensions"
PhilBoileau/stats-2021-canada-presentation
Slidedeck for Statistics 2021 Canada Presentation
PhilBoileau/scPCA-presentation-bioc2020
Bioc2020 Contributed Talk on scPCA
PhilBoileau/ACIC-2022_uniCATE-poster
Abstract and Poster for "A Flexible Approach for Predictive Biomarker Discovery" Presented at ACIC 2022
PhilBoileau/SDSS-2022_unicate-talk
Abstract and Slides for "A Flexible Approach for Predictive Biomarker Discovery" Presented at SDSS 2022
PhilBoileau/UCB-CCB-retreat-2022-talk
Flexible Predictive Biomarker Discovery, UC Berkeley Center For Computational Biology Retreat 2022
PhilBoileau/pub_uniCATE
Code for "A Flexible Approach for Predictive Biomarker Discovery"
PhilBoileau/UCB-poster-template
A UC Berkeley-themed LaTeX poster template relying on the tikzposter package.
PhilBoileau/neatmaps
Heatmaps for Multiple Network Data
PhilBoileau/pub_cvCovEst
Code for "Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions"