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08/07/2023
Regulation-incorporated Gene Expression Network-based Heterogeneity Analysis
Gene expression-based heterogeneity analysis has been extensively conduc...
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06/20/2023
The Bayesian Regularized Quantile Varying Coefficient Model
The quantile varying coefficient (VC) model can flexibly capture dynamic...
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01/09/2023
Locally sparse quantile estimation for a partially functional interaction model
Functional data analysis has been extensively conducted. In this study, ...
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11/30/2022
Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion
Heterogeneity is a hallmark of many complex diseases. There are multiple...
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11/04/2022
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis
In diverse fields ranging from finance to omics, it is increasingly comm...
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07/02/2022
Composite Expectile Regression with Gene-environment Interaction
If error distribution has heteroscedasticity, it voliates the assumption...
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02/04/2022
Statistical Methods for Accommodating Immortal Time: A Selective Review and Comparison
Epidemiologic studies and clinical trials with a survival outcome are of...
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09/22/2021
Two-level Bayesian interaction analysis for survival data incorporating pathway information
Genetic interactions play an important role in the progression of comple...
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07/18/2021
Sparse group variable selection for gene-environment interactions in the longitudinal study
Penalized variable selection for high dimensional longitudinal data has ...
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10/21/2020
Gene-gene interaction analysis incorporating network information via a structured Bayesian approach
Increasing evidence has shown that gene-gene interactions have important...
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06/09/2020
Robust Bayesian variable selection for gene-environment interactions
Gene-environment (G×E) interactions have important implications to eluci...
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06/05/2020
Histopathological imaging features- versus molecular measurements-based cancer prognosis modeling
For most if not all cancers, prognosis is of significant importance, and...
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06/05/2020
Integrative Sparse Partial Least Squares
Partial least squares, as a dimension reduction method, has become incre...
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03/05/2020
Gene-Environment Interaction: A Variable Selection Perspective
Gene-environment interactions have important implications to elucidate t...
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03/05/2020
Robust Identification of Gene-Environment Interactions under High-Dimensional Accelerated Failure Time Models
For complex diseases, beyond the main effects of genetic (G) and environ...
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12/18/2019
Multidimensional molecular changes-environment interaction analysis for disease outcomes
For the outcomes and phenotypes of complex diseases, multiple types of m...
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12/08/2019
Kendall's Tau for Functional Data Analysis
We treat the problem of testing for association between a functional var...
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06/03/2019
Semi-parametric Bayesian variable selection for gene-environment interactions
Many complex diseases are known to be affected by the interactions betwe...
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04/26/2019
Structural modeling using overlapped group penalties for discovering predictive biomarkers for subgroup analysis
The identification of predictive biomarkers from a large scale of covari...
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10/18/2018
Structured gene-environment interaction analysis
For the etiology, progression, and treatment of complex diseases, gene-e...
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09/18/2018
Pan-disease clustering analysis of the trend of period prevalence
For all diseases, prevalence has been carefully studied. In the "classic...
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09/17/2018