Recent Publications

NS Hejazi, S Kherad-Pajouh, MJ van der Laan, AE Hubbard (2019). Supervised variance moderation of locally efficient estimators, with applications in high-dimensional biology.

Preprint Code Project Slides

NS Hejazi, MJ van der Laan, HE Janes, PB Gilbert, DC Benkeser (2019). Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy assessment.

Code Project Slides

I Díaz, NS Hejazi (2019). Causal mediation analysis for stochastic interventions.

Preprint Code Project Project

A Sobh, A Loguinov, GN Yazici, RS Zeidan, A Tagmount, NS Hejazi, AE Hubbard, L Zhang, CD Vulpe (2019). Functional profiling identifies determinants of arsenic trioxide cellular toxicity. In Toxicol Sci.

W Cai, AE Hubbard, NS Hejazi (2018). adaptest: Data-adaptive statistics for high-dimensional testing in R. In J Open Source Softw.

PDF Code Project Source Document

NS Hejazi, RV Phillips, AE Hubbard, MJ van der Laan (2018). methyvim: Targeted, robust, and model-free differential methylation analysis. In F1000Research.

PDF Code Project Project Slides Source Document

JR Coyle, NS Hejazi (2018). origami: A generalized framework for cross-validation in R. In J Open Source Softw.

PDF Code Project Source Document

NS Hejazi, W Cai, AE Hubbard (2017). biotmle: Targeted Learning for biomarker discovery. In J Open Source Softw.

PDF Code Project Project Source Document

NS Hejazi (2017). Generalized application of empirical Bayes statistics to asymptotically linear parameters. Master’s thesis, Graduate Division, University of California, Berkeley.

PDF Code Project Slides

W Cai, NS Hejazi, AE Hubbard (2017). Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings.