21 Publications
2024
Accounting for Network Noise in Graph-Guided Bayesian Modeling of Structured High-Dimensional Data
2023
An integrative latent class model of heterogeneous data modalities for diagnosing kidney obstruction. Biostatistics
. | Journal Article
 
A robust penalized-regression-based method for multivariable Mendelian randomization using GWAS summary statistics
 
CEDAR: communication efficient distributed analysis for regressions. Biometrics
. | Journal Article
 
Genetic Underpinnings of Brain Structural Connectome for Young Adults. Journal of the American Statistical Association
. | Journal Article
 
Incorporating Graph Information in Bayesian Factor Analysis with Robust and Adaptive Shrinkage Priors
 
Integrative Analysis of Multi omics and Imaging Data with Incorporation of Biological Information via Structural Bayesian Factor Analysis
 
Integrative learning of structured high‐dimensional data from multiple datasets. Statistical Analysis and Data Mining: The ASA Data Science Journal
. | Journal Article
 
Robust Knowledge-Guided Biclustering for Multi-omics Data
2020
A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard. Journal of the American Statistical Association
Chang, Changgee⋅Chang, Changgee⋅Jang, Jeong Hoon⋅Jang, Jeong Hoon⋅Manatunga, Amita⋅Manatunga, Amita⋅Taylor, Andrew T⋅Taylor, Andrew T.⋅Long, Qi and Long, Qi
. | Journal Article
 
GRIA: Graphical Regularization for Integrative Analysis. Proceedings of the 2020 SIAM International Conference on Data Mining
 
Multiple imputation for analysis of incomplete data in distributed health data networks. Nature Communications
. | Journal Article
2019
Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features. 2019 IEEE International Conference on Big Data (Big Data)
 
Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. 2019 IEEE International Conference on Big Knowledge (ICBK)
 
Knowledge-Guided Statistical Learning Methods for Analysis of High-Dimensional -Omics Data in Precision Oncology. JCO Precision Oncology
. | Journal Article
2018
Bayesian generalized biclustering analysis via adaptive structured shrinkage. Biostatistics
Li, Ziyi⋅Chang, Changgee⋅Kundu, Suprateek and Long, Qi
. | Journal Article
 
Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data. 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)
 
Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data. 2018 IEEE International Conference on Big Data (Big Data)
 
Scalable Bayesian variable selection for structured high‐dimensional data. Biometrics
Chang, Changgee⋅Chang, Changgee⋅Kundu, Suprateek⋅Kundu, Suprateek⋅Long, Qi and Long, Qi
. | Journal Article
2016
Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data. Scientific Reports
Deng, Yi⋅Chang, Changgee⋅Ido, Moges Seyoum and Long, Qi
. | Journal Article
2010
Estimation of covariance matrix via the sparse Cholesky factor with lasso. Journal of Statistical Planning and Inference
. | Journal Article