29 citations · 36 across the 14 of their papers we have counts for
6 papers · 1 filter
A Bayesian hierarchical modeling approach to combining multiple data sources: A case study in size estimation
Jacob Parsons, Xiaoyue Niu, Le Bao
To combat the HIV/AIDS pandemic effectively, targeted interventions among certain key populations play a critical role. Examples of such key populations include sex workers, people…
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models
Amy X. Zhang, Le Bao, Changcheng Li +1
We introduce a novel procedure for obtaining cross-validated predictive estimates for Bayesian hierarchical regression models (BHRMs). Bayesian hierarchical models are popular for…
Thirty Years of The Network Scale up Method
Ian Laga, Le Bao, Xiaoyue Niu
Estimating the size of hard-to-reach populations is an important problem for many fields. The Network Scale-up Method (NSUM) is a relatively new approach to estimate the size of th…
Evaluating the relative contribution of data sources in a Bayesian analysis with the application of estimating the size of hard to reach populations
Jacob Parsons, Xiaoyue Niu, Le Bao
When using multiple data sources in an analysis, it is important to understand the influence of each data source on the analysis and the consistency of the data sources with each o…
A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations
Zhou Lan, Le Bao
Ending the HIV/AIDS pandemic is among the Sustainable Development Goals for the next decade. In order to overcome the gap between the need for care and the available resources, bet…
What Can We Learn from the Travelers Data in Detecting Disease Outbreaks -- A Case Study of the COVID-19 Epidemic
Le Bao, Ying Zhang, Xiaoyue Niu
Background: Travel is a potent force in the emergence of disease. We discussed how the traveler case reports could aid in a timely detection of a disease outbreak. Methods: Using t…