research
∙
07/01/2023
Utilizing a Capture-Recapture Strategy to Accelerate Infectious Disease Surveillance
Monitoring key elements of disease dynamics (e.g., prevalence, case coun...
share
research
∙
06/19/2023
On some pitfalls of the log-linear modeling framework for capture-recapture studies in disease surveillance
In epidemiological studies, the capture-recapture (CRC) method is a powe...
research
∙
02/07/2023
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors
Epidemiologic screening programs often make use of tests with small, but...
research
∙
01/31/2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
Mediation analysis learns the causal effect transmitted via mediator var...
research
∙
12/09/2022
A Design and Analytic Strategy for Monitoring Disease Positivity and Case Characteristics in Accessible Closed Populations
We propose a monitoring strategy for efficient and robust estimation of ...
research
∙
11/25/2022
Tailoring Capture-Recapture Methods to Estimate Registry-Based Case Counts Based on Error-Prone Diagnostic Signals
Surveillance research is of great importance for effective and efficient...
research
∙
02/26/2022
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
Online learning in large-scale structured bandits is known to be challen...
research
∙
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 ...
research
∙
08/13/2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
How to explore efficiently is a central problem in multi-armed bandits. ...
research
∙
01/12/2021