This is a list of selected publications. For an exhaustive list, consult my CV here.

journal articles

In Preparation

Hejazi NS, Kherad-Pajouh S, van der Laan MJ, Hubbard AE (2017). Variance moderation for estimators of asymptotically linear parameters by empirical Bayes shrinkage.

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

Hejazi NS, Hubbard AE, van der Laan MJ (2017). methyvim: Adaptive variable importance estimation for the analysis of differential methylation.


Coyle JR, Hejazi NS (2017). origami: A generalized framework for cross-validation in R. The Journal of Open Source Software (submitted). [GitHub]

Hejazi NS, Cai W, Hubbard AE (2017). biotmle: Targeted learning for biomarker discovery. The Journal of Open Source Software (submitted). [GitHub]

Cai W, Hubbard A, Hejazi N (2017). DA.Test: Data-adaptive statistics for high-dimensional multiple testing. The Journal of Open Source Software (submitted). [GitHub]

Hejazi N, Schiffman C, Zhou X (2017). Review of “Statistical analysis of numerical preclinical radiobiological data.” ScienceOpen Research. [Web] [GitHub]

dissertations and theses

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