Semiparametric Variance Moderation
Last updated on
Fri, Oct 23, 2020
Nima Hejazi
Assistant Professor of Biostatistics
My research lies at the intersection of causal inference and machine learning, developing flexible methodology for statistical inference tailored to modern experiments and observational studies in the biomedical and public 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 …
biotmle: Targeted Learning for biomarker discovery
biotmle is an R package facilitating biomarker discovery by generalizing moderated statistics for use with targeted estimators of …
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 …
Talks
Combining Causal Inference and Machine Learning for Model-agnostic Discovery in High-dimensional Biology
The widespread availability of high-dimensional data has catalyzed biological pattern discovery. Today, the simultaneous measurement of …
Mon, Mar 27, 2023 1:00 PM
Boston, Massachusetts, USA