44 citations · 46 across the 3 of their papers we have counts for
3 papers
Evaluation of Logistic Regression Applied to Respondent-Driven Samples: Simulated and Real Data
Sandro Sperandei, Leonardo S. Bastos, Marcelo Ribeiro-Alves +2
Objective: To investigate the impact of different logistic regression estimators applied to RDS samples obtained by simulation and real data. Methods: Four simulated populations we…
Fast approaches for Bayesian estimation of size of hard-to-reach populations using Network Scale-up
Leonardo S Bastos, Natalia S Paiva, Francisco I Bastos +1
The Network scale-up method is commonly used to overcome difficulties in estimating the size of hard-to-reach populations. The method uses indirect information based on social netw…
Binary regression analysis with network structure of respondent-driven sampling data
Leonardo S. Bastos, Adriana A. Pinho, Claudia Codeço +1
Respondent-driven sampling (RDS) is a procedure to sample from hard-to-reach populations. It has been widely used in several countries, especially in the monitoring of HIV/AIDS and…