Here is a list of select recent publications. For a complete list, consult my CV.

journal articles

In Preparation

Hejazi NS, Kherad-Pajouh S, van der Laan MJ, Hubbard AE (2018+). Variance stabilization of targeted estimators of causal parameters in high-dimensional settings. [PDF]

Cai W, Hejazi NS, Hubbard AE (2018+). Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings. [PDF]

Hejazi NS, Hubbard AE, van der Laan MJ (2018+). Data-adaptive estimation and nonparametric inference for differential methylation analysis.

Hejazi NS, Phillips RV, Hubbard AE, van der Laan MJ (2018+). methyvim: Targeted and model-free analysis of differential methylation in R.

Hejazi NS, Benac K, Jewell NP (2018+). Immortal time bias analyses: Time-varying survival regression models and delayed entry approaches.

van der Laan MJ, Hejazi NS (2018+). Optimal nonparametric estimation of constrained functional parameters.

van der Laan MJ, Hejazi NS (2018+). Targeted maximum likelihood estimation with constraint-specific paths.

van der Laan MJ, Hejazi NS (2018+). The targeted Highly Adaptive Lasso: Targeted maximum likelihood as projection.

Hejazi NS, Coyle JR, van der Laan MJ (2018+). On the scalability of the Highly Adaptive Lasso.

Hejazi NS, van der Laan MJ, Benkeser DC (2018+). Variable importance analysis for stochastic interventions under case-control sampling.

Cai W, Hubbard AE, Hejazi NS (2018+). adaptest: Data-adaptive statistics for high-dimensional multiple hypothesis testing in R.


Coyle JR, Hejazi NS (2018). origami: A generalized framework for cross-validation in R. The Journal of Open Source Software. [Link]


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

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

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]