675 citations · 1.4k across the 12 of their papers we have counts for
6 papers · 1 filter
A Novel Approach to Instrumental Variable Estimation: TEAM-IV
Steven Y. Alberding, Patrick J. Breheny
Instrumental-variable (IV) analyses can be undermined when some instruments violate the exclusion restriction through direct effects on the outcome. Existing robust IV methods, inc…
Cross validation approaches for penalized Cox regression
Biyue Dai, Patrick Breheny
Cross validation is commonly used for selecting tuning parameters in penalized regression, but its use in penalized Cox regression models has received relatively little attention i…
Feature-specific inference for penalized regression using local false discovery rates
Ryan Miller, Patrick Breheny
Penalized regression methods, most notably the lasso, are a popular approach to analyzing high-dimensional data. An attractive property of the lasso is that it naturally performs v…
Marginal false discovery rate control for likelihood-based penalized regression models
Ryan Miller, Patrick Breheny
The popularity of penalized regression in high-dimensional data analysis has led to a demand for new inferential tools for these models. False discovery rate control is widely used…
Overlapping group logistic regression with applications to genetic pathway selection
Yaohui Zeng, Patrick Breheny
Discovering important genes that account for the phenotype of interest has long been challenging in genomewide expression analysis. Analyses such as Gene Set Enrichment Analysis (G…
Kernel-based aggregation of marker-level genetic association tests involving copy-number variation
Yinglei Li, Patrick Breheny
Genetic association tests involving copy-number variants (CNVs) are complicated by the fact that CNVs span multiple markers at which measurements are taken. The power of an associa…