Semiparametric Variance Moderation

Last updated on Fri, Oct 23, 2020
biostat
Nima Hejazi
Nima Hejazi
NSF Postdoctoral Research Fellow in Biostatistics

My research interests lie at the intersection of causal inference and machine learning, especially as applied to the statistical analysis of complex data from observational studies and experiments in the biomedical and health sciences.

Publications

A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology

The widespread availability of high-dimensional biological data has made the simultaneous screening of many biological characteristics …
Nima Hejazi, Philippe Boileau, Mark van der Laan, Alan Hubbard
Preprint Code Project Slides

biotmle: Targeted Learning for biomarker discovery

biotmle is an R package facilitating biomarker discovery by generalizing moderated statistics for use with targeted estimators of …
Nima Hejazi, Weixin Cai, Alan Hubbard
PDF Code Project Source Document DOI

Generalized application of empirical Bayes statistics to asymptotically linear parameters

The exploratory analysis of high-dimensional biological sequencing data has received much attention for its ability to allow the …
PDF Code Project Slides