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06/29/2023
A network-based regression approach for identifying subject-specific driver mutations
In cancer genomics, it is of great importance to distinguish driver muta...
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04/29/2023
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
Digital technologies (e.g., mobile phones) can be used to obtain objecti...
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03/08/2023
Rank Intraclass Correlation for Clustered Data
Clustered data are common in biomedical research. Observations in the sa...
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01/29/2023
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with High Dimensional Features
Dynamic treatment rules or policies are a sequence of decision functions...
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12/23/2022
Learning Optimal Dynamic Treatment Regime Subject to Stagewise Risk Controls
Dynamic treatment regimes (DTRs) aim at tailoring individualized sequent...
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12/21/2022
Efficient Nonparametric Estimation of Incremental Propensity Score Effects with Clustered Interference
Interference occurs when the treatment (or exposure) of a unit affects t...
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09/16/2022
Maximum Likelihood Estimation for Semiparametric Regression Models with Interval-Censored Multi-State Data
Interval-censored multi-state data arise in many studies of chronic dise...
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07/18/2022
Analyzing Clustered Continuous Response Variables with Ordinal Regression Models
Continuous response variables often need to be transformed to meet regre...
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06/29/2022
Asymptotic Properties for Cumulative Probability Models for Continuous Outcomes
Regression models for continuous outcomes often require a transformation...
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02/25/2022
Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae
Adverse posttraumatic neuropsychiatric sequelae (APNS) are common among ...
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07/20/2021
Evaluating Effectiveness of Public Health Intervention Strategies for Mitigating COVID-19 Pandemic
Coronavirus disease 2019 (COVID-19) pandemic is an unprecedented global ...
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03/30/2021
A General Framework of Nonparametric Feature Selection in High-Dimensional Data
Nonparametric feature selection in high-dimensional data is an important...
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10/30/2020
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments
For mental disorders, patients' underlying mental states are non-observe...
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08/26/2020
Assessing Impact of Unobserved Confounders with Sensitivity Index Probabilities through Pseudo-Experiments
Unobserved confounders are a long-standing issue in causal inference usi...
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07/25/2020
Improved Inference for Heterogeneous Treatment Effects Using Real-World Data Subject to Hidden Confounding
The heterogeneity of treatment effect (HTE) lies at the heart of precisi...
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05/21/2020
Elastic Integrative Analysis of Randomized Trial and Real-World Data for Treatment Heterogeneity Estimation
Parallel randomized trial (RT) and real-world (RW) data are becoming inc...
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03/02/2020
Integrative analysis of randomized clinical trials with real world evidence studies
We leverage the complementing features of randomized clinical trials (RC...
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12/13/2019
