29 citations · 36 across the 14 of their papers we have counts for
14 papers
Causal Structural Learning on MPHIA Individual Dataset
Le Bao, Changcheng Li, Runze Li +1
The Population-based HIV Impact Assessment (PHIA) is an ongoing project that conducts nationally representative HIV-focused surveys for measuring national and regional progress tow…
A Correlated Network Scale-up Model: Finding the Connection Between Subpopulations
Ian Laga, Le Bao, Xiaoyue Niu
Aggregated relational data (ARD), formed from "How many X's do you know?" questions, is a powerful tool for learning important network characteristics with incomplete network data.…
Probabilistic HIV Recency Classification -- A Logistic Regression without Labeled Individual Level Training Data
Ben Sheng, Changcheng Li, Le Bao +1
Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to t…
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…