adaptest: Data-adaptive statistics for high-dimensional testing in R
Abstract
adaptest is an R package for performing multiple hypothesis testing in problem settings commonly encountered in high-dimensional biology, using the approach of data-adaptive statistical target parameters.
Type
Publication
In Journal of Open Source Software
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.