32 citations · 65 across the 10 of their papers we have counts for
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stat.ME2019
Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data
TIen Vo, Vamsi Ithapu, Vikas Singh +1
For large-scale testing with graph-associated data, we present an empirical Bayes mixture technique to score local false discovery rates. Compared to empirical Bayes procedures tha…
stat.ME2017★ 1 cited
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, -consistency and Neuroscience Applications
Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu +3
Many studies in biomedical and health sciences involve small sample sizes due to logistic or financial constraints. Often, identifying weak (but scientifically interesting) associa…