1 citations · 1 across the 2 of their papers we have counts for
3 papers
Screening methods for linear errors-in-variables models in high dimensions
Linh Nghiem, Francis K. C. Hui, Samuel Mueller +1
Microarray studies, in order to identify genes associated with an outcome of interest, usually produce noisy measurements for a large number of gene expression features from a smal…
svReg: Structural Varying-coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups
Rakheon Kim, Samuel Mueller, Tanya P. Garcia
For Huntington disease, identification of brain regions related to motor impairment can be useful for developing interventions to alleviate the motor symptom, the major symptom of…
Bootstrapping F test for testing Random Effects in Linear Mixed Models
P. Y. O'Shaughnessy, Francis Hui, Samuel Muller +1
Recently Hui et al. (2018) use F tests for testing a subset of random effect, demonstrating its computational simplicity and exactness when the first two moment of the random effec…