Publications

Trainees’ names are bolded and italicized.

Statistical Methodology

  1. P. Boileau, N. Leng, and S. Dudoit. “Guidance on Individualized Treatment Rule Estimation in High Dimensions”. In: Accepted, The International Journal of Biostatistics (2025+). DOI: 10.48550/ARXIV.2306.16402. https://arxiv.org/abs/2306.16402.

  2. P. Boileau, N. Leng, N. S. Hejazi, M. van der Laan, and S. Dudoit. “A nonparametric framework for treatment effect modifier discovery in high dimensions”. In: Journal of the Royal Statistical Society Series B: Statistical Methodology (Aug. 2024). ISSN: 1467-9868. DOI: 10.1093/jrsssb/qkae084. http://dx.doi.org/10.1093/jrsssb/qkae084.

  3. N. S. Hejazi, P. Boileau, M. J. van der Laan, and A. E. Hubbard. “A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology”. In: Statistical Methods in Medical Research 32.3 (Dec. 2022), p. 539–554. ISSN: 1477-0334. DOI: 10.1177/09622802221146313. http://dx.doi.org/10.1177/09622802221146313.

  4. P. Boileau, N. S. Hejazi, M. J. van der Laan, and S. Dudoit. “Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions”. In: Journal of Computational and Graphical Statistics 32.2 (Oct. 2022), p. 601–612. ISSN: 1537-2715. DOI: 10.1080/10618600.2022.2110883. http://dx.doi.org/10.1080/10618600.2022.2110883.

  5. P. Boileau, N. T. Qi, M. J. van der Laan, S. Dudoit, and N. Leng. “A flexible approach for predictive biomarker discovery”. In: Biostatistics 24.4 (Jul. 2022), p. 1085–1105. ISSN: 1468-4357. DOI: 10.1093/biostatistics/kxac029. http://dx.doi.org/10.1093/biostatistics/kxac029.

  6. P. Boileau, N. S. Hejazi, and S. Dudoit. “Exploring high-dimensional biological data with sparse contrastive principal component analysis”. In: Bioinformatics 36.11 (Mar. 2020). Ed. by A. Mathelier, p. 3422–3430. ISSN: 1367-4811. DOI: 10.1093/bioinformatics/btaa176. http://dx.doi.org/10.1093/bioinformatics/btaa176.

Statistical Software

  1. J. Duncan, T. Tang, C. F. Elliott, P. Boileau, and B. Yu. “simChef: High-quality data science simulations in R”. In: Journal of Open Source Software 9.95 (Mar. 2024), p. 6156. ISSN: 2475-9066. DOI: 10.21105/joss.06156. http://dx.doi.org/10.21105/joss.06156.

  2. P. Boileau, N. Hejazi, B. Collica, M. van der Laan, and S. Dudoit. “cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R”. In: Journal of Open Source Software 6.63 (Jul. 2021), p. 3273. ISSN: 2475-9066. DOI: 10.21105/joss.03273. http://dx.doi.org/10.21105/joss.03273.

  3. P. Boileau, N. Hejazi, and S. Dudoit. “scPCA: A toolbox for sparse contrastive principal component analysis in R”. In: Journal of Open Source Software 5.46 (Feb. 2020), p. 2079. ISSN: 2475-9066. DOI: 10.21105/joss.02079. http://dx.doi.org/10.21105/joss.02079.

Applications

  1. J. O. Humtsoe, H. Kim, L. Jones, J. Cevallos, P. Boileau, F. Kuo, L. G. T. Morris, and P. Ha. “Development and Characterization of MYB-NFIB Fusion Expression in Adenoid Cystic Carcinoma”. In: Cancers 14.9 (Apr. 2022), p.2263. ISSN: 2072-6694. DOI: 10.3390/cancers14092263. http://dx.doi.org/10.3390/cancers14092263.

  2. J. C. Nwanaji‐Enwerem, P. Boileau, J. M. Galazka, and A. Cardenas. “In vitro relationships of galactic cosmic radiation and epigenetic clocks in human bronchial epithelial cells”. In: Environmental and Molecular Mutagenesis 63.4 (Apr. 2022), p. 184–189. ISSN: 1098-2280. DOI: 10.1002/em.22483. http://dx.doi.org/10.1002/em.22483.

  3. A. K. Bozack, P. Boileau, A. E. Hubbard, F. C. M. Sillé, C. Ferreccio, C. M. Steinmaus, M. T. Smith, and A. Cardenas. “The impact of prenatal and early-life arsenic exposure on epigenetic age acceleration among adults in Northern Chile”. In: Environmental Epigenetics 8.1 (Jan. 2022). ISSN: 2058-5888. DOI: 10.1093/eep/dvac014. http://dx.doi.org/10.1093/eep/dvac014.

  4. A. K. Bozack, P. Boileau, L. Wei, A. E. Hubbard, F. C. M. Sillé, C. Ferreccio, J. Acevedo, L. Hou, V. Ilievski, C. M. Steinmaus, et al. “Exposure to arsenic at different life-stages and DNA methylation meta-analysis in buccal cells and leukocytes”. In: Environmental Health 20.1 (Jul. 2021). ISSN: 1476-069X. DOI: 10.1186/s12940-021-00754-7. http://dx.doi.org/10.1186/s12940-021-00754-7.