43 citations · 103 across the 10 of their papers we have counts for
10 papers
Learning Optimal Biomarker-Guided Treatment Policy for Chronic Disorders
Bin Yang, Xingche Guo, Ji Meng Loh +2
Electroencephalogram (EEG) provides noninvasive measures of brain activity and is found to be valuable for diagnosis of some chronic disorders. Specifically, pre-treatment EEG sign…
Are Outlier Detection Methods Resilient to Sampling?
Laure Berti-Equille, Ji Meng Loh, Saravanan Thirumuruganathan
Outlier detection is a fundamental task in data mining and has many applications including detecting errors in databases. While there has been extensive prior work on methods for o…
Familywise Error Rate Controlling Procedures for Discrete Data
Yalin Zhu, Wenge Guo
In applications such as clinical safety analysis, the data of the experiments usually consists of frequency counts. In the analysis of such data, researchers often face the problem…
Regression shrinkage and grouping of highly correlated predictors with HORSES
Woncheol Jang, Johan Lim, Nicole A. Lazar +2
Identifying homogeneous subgroups of variables can be challenging in high dimensional data analysis with highly correlated predictors. We propose a new method called Hexagonal Oper…
Statistical Distortion: Consequences of Data Cleaning
Tamraparni Dasu, Ji Meng Loh
We introduce the notion of statistical distortion as an essential metric for measuring the effectiveness of data cleaning strategies. We use this metric to propose a widely applica…
Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression
Yu Ryan Yue, Martin A. Lindquist, Ji Meng Loh
In this work we perform a meta-analysis of neuroimaging data, consisting of locations of peak activations identified in 162 separate studies on emotion. Neuroimaging meta-analyses…