338 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Texas MD Anderson Cancer CenterUS17 papers
- The University of Texas Health Science CenterUS15 papers
- Yale UniversityUS13 papers
- Rice UniversityUS12 papers
- Fudan UniversityCN7 papers
- Harvard UniversityUS7 papers
- Mayo Clinic in FloridaUS7 papers
- National Institutes of HealthUS6 papers
- University of PennsylvaniaUS6 papers
- Texas A&M UniversityUS5 papers
- Baylor College of MedicineUS4 papers
- Cornell UniversityUS4 papers
15 papers · 1 filter
Bayesian Geostatistical Modeling for Cluster Randomized Trials
Jooyeon Lee, M. S., Evan Kwiatkowski +1
Cluster randomized trials (CRTs) offer a practical alternative for addressing logistical challenges and ensuring feasibility in community health, education, and prevention studies,…
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression
Tong Lu, Yuan Zhang, Vince Lyzinski +4
The joint analysis of multimodal neuroimaging data is critical in the field of brain research because it reveals complex interactive relationships between neurobiological structure…
Multiple Imputation Method for High-Dimensional Neuroimaging Data
Tong Lu, Chixiang Chen, Hsin-Hsiung Huang +3
Missingness is a common issue for neuroimaging data, and neglecting it in downstream statistical analysis can introduce bias and lead to misguided inferential conclusions. It is th…
A Bayesian group sequential schema for ordinal endpoints
Chengxue Zhong, Haitao Pan, Hongyu Miao
The ordinal endpoint is prevalent in clinical studies. For example, for the COVID-19, the most common endpoint used was 7-point ordinal scales. Another example is in phase II cance…
Regression with a right-censored predictor, using inverse probability weighting methods
Roland A. Matsouaka, Folefac D. Atem
In a longitudinal study, measures of key variables might be incomplete or partially recorded due to drop-out, loss to follow-up, or early termination of the study occurring before…
An improved sample size calculation method for score tests in generalized linear models
Yongqiang Tang, Liang Zhu, Jiezhun Gu
Self and Mauritsen (1988) developed a sample size determination procedure for score tests in generalized linear models under contiguous alternatives. Its performance may deteriorat…
Quantile regression on inactivity time
Lauren C. Balmert, Ruosha Li, Limin Peng +1
The inactivity time, or lost lifespan specifically for mortality data, concerns time from occurrence of an event of interest to the current time point and has recently emerged as a…
Multiplicity for a Group Sequential Trial with Biomarker Subpopulations
Ting-Yu Chen, Jing Zhao, Linda Sun +1
Biomarker subpopulations have become increasingly important for drug development in targeted therapies. The use of biomarkers has the potential to facilitate more effective outcome…
Quantifying and Estimating the Predictive Accuracy for Censored Time-to-Event Data with Competing Risks
Cai Wu, Liang Li
This paper focuses on quantifying and estimating the predictive accuracy of prognostic models for time-to-event outcomes with competing events. We consider the time-dependent discr…
A Class of Temporal Hierarchical Exponential Random Graph Models for Longitudinal Network Data
Ming Cao
As a representation of relational data over time series, longitudinal networks provide opportunities to study link formation processes. However, networks at scale often exhibits co…
A two-stage working model strategy for network analysis under Hierarchical Exponential Random Graph Models
Ming Cao
Social networks as a representation of relational data, often possess multiple types of dependency structures at the same time. There could be clustering (beyond homophily) at a ma…
False Discovery Rate Control for High-Dimensional Networks of Quantile Associations Conditioning on Covariates
Jichun Xie, Ruosha Li
Motivated by the gene co-expression pattern analysis, we propose a novel sample quantile-based contingency (squac) statistic to infer quantile associations conditioning on covariat…
The Limitations of Simple Gene Set Enrichment Analysis Assuming Gene Independence
Pablo Tamayo, George Steinhardt, Arthur Liberzon +1
Since its first publication in 2003, the Gene Set Enrichment Analysis (GSEA) method, based on the Kolmogorov-Smirnov statistic, has been heavily used, modified, and also questioned…
Analysis of Case-Control Association Studies: SNPs, Imputation and Haplotypes
Nilanjan Chatterjee, Yi-Hau Chen, Sheng Luo +1
Although prospective logistic regression is the standard method of analysis for case-control data, it has been recently noted that in genetic epidemiologic studies one can use the…
Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection
Jelena Bradic, Jianqing Fan, Weiwei Wang
In high-dimensional model selection problems, penalized simple least-square approaches have been extensively used. This paper addresses the question of both robustness and efficien…