User profiles for Patrick Breheny
Patrick BrehenyProfessor of Biostatistics, University of Iowa Verified email at uiowa.edu Cited by 6043 |
[HTML][HTML] Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
A number of variable selection methods have been proposed involving nonconvex penalty
functions. These methods, which include the smoothly clipped absolute deviation (SCAD) …
functions. These methods, which include the smoothly clipped absolute deviation (SCAD) …
[PDF][PDF] Visualization of regression models using visreg.
P Breheny, W Burchett - R J., 2017 - Citeseer
Regression models allow one to isolate the relationship between the outcome and an explanatory
variable while the other variables are held constant. Here, we introduce an R package…
variable while the other variables are held constant. Here, we introduce an R package…
The group exponential lasso for bi-level variable selection
P Breheny - Biometrics, 2015 - academic.oup.com
In many applications, covariates possess a grouping structure that can be incorporated into
the analysis to select important groups as well as important members of those groups. One …
the analysis to select important groups as well as important members of those groups. One …
[HTML][HTML] A selective review of group selection in high-dimensional models
Grouping structures arise naturally in many statistical modeling problems. Several methods
have been proposed for variable selection that respect grouping structure in variables. …
have been proposed for variable selection that respect grouping structure in variables. …
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
Penalized regression is an attractive framework for variable selection problems. Often,
variables possess a grouping structure, and the relevant selection problem is that of selecting …
variables possess a grouping structure, and the relevant selection problem is that of selecting …
[HTML][HTML] Penalized methods for bi-level variable selection
In many applications, covariates possess a grouping structure that can be incorporated into
the analysis to select important groups as well as important members of those groups. This …
the analysis to select important groups as well as important members of those groups. This …
Surface sensing in Vibrio parahaemolyticus triggers a programme of gene expression that promotes colonization and virulence
…, RJ Kustusch, PJ Breheny… - Molecular …, 2011 - Wiley Online Library
Vibrio parahaemolyticus senses surfaces via impeded rotation of its polar flagellum. We
have exploited this surface‐sensing mechanism to trick the organism into thinking it is on a …
have exploited this surface‐sensing mechanism to trick the organism into thinking it is on a …
Multivariate predictors of music perception and appraisal by adult cochlear implant users
The research examined whether performance by adult cochlear implant recipients on a variety
of recognition and appraisal tests derived from real-world music could be predicted from …
of recognition and appraisal tests derived from real-world music could be predicted from …
68Ga-DOTATOC imaging of neuroendocrine tumors: a systematic review and metaanalysis
MM Graham, X Gu, T Ginader, P Breheny… - Journal of Nuclear …, 2017 - Soc Nuclear Med
68 Ga-DOTATOC, a somatostatin receptor–targeted ligand, has been used clinically in Europe
over the past decade for imaging neuroendocrine tumors (NETs). It appears to be quite …
over the past decade for imaging neuroendocrine tumors (NETs). It appears to be quite …
[PDF][PDF] Cancer cells resist mechanical destruction in circulation via RhoA/actomyosin-dependent mechano-adaptation
…, G Burke, L Rhodes, M Vanneste, P Breheny… - Cell reports, 2020 - cell.com
During metastasis, cancer cells are exposed to potentially destructive hemodynamic forces
including fluid shear stress (FSS) while en route to distant sites. However, prior work …
including fluid shear stress (FSS) while en route to distant sites. However, prior work …