2 citations · 3 across the 6 of their papers we have counts for
6 papers
Overcoming Barriers to Computational Reproducibility
Roman Hornung, László Németh, Oleksandr Zadorozhny +13
Computational reproducibility, the possibility for independent researchers to exactly reproduce published empirical results, is fundamental to science. Despite its importance, the…
SCoRES: An R Package for Simultaneous Confidence Region Estimates
Zhuoran Yu, Armin Schwartzman, Junting Ren +1
The identification of domain sets whose outcomes belong to predefined subsets can address fundamental risk assessment challenges in climatology and medicine. Existing approaches fo…
Identifying Neural Signatures from fMRI using Hybrid Principal Components Regression
Jared Rieck, Julia Wrobel, Joshua L. Gowin +3
Recent advances in neuroimaging analysis have enabled accurate decoding of mental state from brain activation patterns during functional magnetic resonance imaging scans. A commonl…
A robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics data
Julia Wrobel, Hoseung Song
Spatial summary statistics based on point process theory are widely used to quantify the spatial organization of cell populations in single-cell spatial proteomics data. Among thes…
Generalized Conditional Functional Principal Component Analysis
Yu Lu, Xinkai Zhou, Erjia Cui +4
We propose generalized conditional functional principal components analysis (GC-FPCA) for the joint modeling of the fixed and random effects of non-Gaussian functional outcomes. Th…
Mistaken identities lead to missed opportunities: Testing for mean differences in partially matched data
Raymond Pomponio, Bailey K. Fosdick, Julia Wrobel +1
It is increasingly common to collect pre-post data with pseudonyms or self-constructed identifiers. On survey responses from sensitive populations, identifiers may be made optional…