14.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Columbia UniversityUS16 papers
- Harvard UniversityUS13 papers
- Stanford UniversityUS12 papers
- Cornell UniversityUS11 papers
- National Institutes of HealthUS7 papers
- New York UniversityUS7 papers
- University of California, San FranciscoUS7 papers
- Emory UniversityUS6 papers
- Georgia Institute of TechnologyUS6 papers
- Hebrew University of JerusalemIL6 papers
- Imperial College LondonGB6 papers
- Mayo ClinicUS6 papers
11 papers · 1 filter
A Network-Guided Penalized Regression with Application to Proteomics Data
Seungjun Ahn, Eun Jeong Oh
Network theory has proven invaluable in unraveling complex protein interactions. Previous studies have employed statistical methods rooted in network theory, including the Gaussian…
Leveraging Two-Phase Data for Improved Prediction of Survival Outcomes with Application to Nasopharyngeal Cancer
Eun Jeong Oh, Seungjun Ahn, Tristan Tham +1
Accurate survival predicting models are essential for improving targeted cancer therapies and clinical care among cancer patients. In this article, we investigate and develop a met…
A Multi-Omics Framework for Survival Mediation Analysis of High-Dimensional Proteogenomic Data
Seungjun Ahn, Weijia Fu, Maaike van Gerwen +2
Survival analysis plays a crucial role in understanding time-to-event (survival) outcomes such as disease progression. Despite recent advancements in causal mediation frameworks fo…
Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables
Mariyam Khan, Adriaan-Alexander Ludl, Sean Bankier +2
Multivariate Mendelian randomization (MVMR) is a statistical technique that uses sets of genetic instruments to estimate the direct causal effects of multiple exposures on an outco…
Differential Co-Abundance Network Analyses for Microbiome Data Adjusted for Clinical Covariates Using Jackknife Pseudo-Values
Seungjun Ahn, Somnath Datta
A recent breakthrough in differential network (DN) analysis of microbiome data has been realized with the advent of next-generation sequencing technologies. The DN analysis disenta…
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
Liangyuan Hu, Chenyang Gu
The preponderance of large-scale healthcare databases provide abundant opportunities for comparative effectiveness research. Evidence necessary to making informed treatment decisio…
Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling
Marco Piccininni, Stefan Konigorski, Jessica L Rohmann +1
Background: In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causa…
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Ying-Qi Zhao, Eric B. Laber, Yang Ning +2
Individualized treatment rules aim to identify if, when, which, and to whom treatment should be applied. A globally aging population, rising healthcare costs, and increased access…
Bayesian Distributed Lag Interaction Models to Identify Perinatal Windows of Vulnerability in Children's Health
Ander Wilson, Yueh-Hsiu Mathilda Chiu, Hsiao-Hsien Leon Hsu +3
Epidemiological research supports an association between maternal exposure to air pollution during pregnancy and adverse children's health outcomes. Advances in exposure assessment…
An adaptable generalization of Hotelling's test in high dimension
Haoran Li, Alexander Aue, Debashis Paul +2
We propose a two-sample test for detecting the difference between mean vectors in a high-dimensional regime based on a ridge-regularized Hotelling's . To choose the regulariza…
Functional and Parametric Estimation in a Semi- and Nonparametric Model with Application to Mass-Spectrometry Data
Weiping Ma, Yang Feng, Kani Chen +1
Motivated by modeling and analysis of mass-spectrometry data, a semi- and nonparametric model is proposed that consists of a linear parametric component for individual location and…