3 citations · 4 across the 4 of their papers we have counts for
4 papers
False Discovery Rate Control for Lesion-Symptom Mapping with Heterogeneous data via Weighted P-values
Siyu Zheng, Alexander C. McLain, Joshua Habiger +2
Lesion-symptom mapping studies provide insight into what areas of the brain are involved in different aspects of cognition. This is commonly done via behavioral testing in patients…
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
Alexander C. McLain, Anja Zgodic, Howard Bondell
Bayesian variable selection methods are powerful techniques for fitting and inferring on sparse high-dimensional linear regression models. However, many are computationally intensi…
A Generalization of Ripley's K Function for the Detection of Spatial Clustering in Areal Data
Stella Self, Anna Overby, Anja Zgodic +3
Spatial clustering detection has a variety of applications in diverse fields, including identifying infectious disease outbreaks, assessing land use patterns, pinpointing crime hot…
Cluster Detection Capabilities of the Average Nearest Neighbor Ratio and Ripley's K Function on Areal Data: an Empirical Assessment
Nadeesha Vidanapathirana, Yuan Wang, Alexander C. McLain +1
Spatial clustering detection methods are widely used in many fields including epidemiology, ecology, biology, physics, and sociology. In these fields, areal data is often of intere…