3 citations · 6 across the 7 of their papers we have counts for
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stat.AP2026
Comparison of statistical methods for high-dimensional compositional data from flow cytometry: A critical perspective on log-ratio transformation and differential abundance testing
Jong-Hyeon Jeong
Flow cytometry generates inherently compositional count data: observed cell population counts are constrained to sum to the total number of acquired events, which precludes direct…
stat.AP2022★ 1 cited
CausalDeepCENT: Deep Learning for Causal Prediction of Individual Event Times
Jong-Hyeon Jeong, Yichen Jia
Deep learning (DL) has recently drawn much attention in image analysis, natural language process, and high-dimensional medical data analysis. Under the causal direct acyclic graph…
stat.AP2018
Domain of Inverse Double Arcsine Transformation
Jong-Hyeon Jeong
To combine the proportions from different studies for meta-analysis, Freeman and Tukey double arcsine tranformation can be useful for normalization and variance stabilization. The…