133 citations · 259 across the 8 of their papers we have counts for
8 papers
Faster indicators of dengue fever case counts using Google and Twitter
Giovanni Mizzi, Tobias Preis, Leonardo Soares Bastos +3
Dengue is a major threat to public health in Brazil, the world's sixth biggest country by population, with over 1.5 million cases recorded in 2019 alone. Official data on dengue ca…
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…
Dynamic quantile linear models: a Bayesian approach
Kelly C. M. Gonçalves, Helio S. Migon, Leonardo S. Bastos
A new class of models, named dynamic quantile linear models, is presented. It combines dynamic linear models with distribution free quantile regression producing a robust statistic…
Modelling reporting delays for disease surveillance data
Leonardo Bastos, Theodoros Economou, Marcelo Gomes +6
One difficulty for real-time tracking of epidemics is related to reporting delay. The reporting delay may be due to laboratory confirmation, logistic problems, infrastructure diffi…
Combining probability distributions: Extending the logarithmic pooling approach
Luiz Max de Carvalho, Daniel A. M. Villela, Flavio Codeco Coelho +1
Combining distributions is an important issue in decision theory and Bayesian inference. Logarithmic pooling is a popular method to aggregate expert opinions by using a set of weig…
Obtaining adjusted prevalence ratios from logistic regression model in cross-sectional studies
Leonardo Soares Bastos, Raquel de Vasconcellos Carvalhaes de Oliveira, Luciane de Souza Velasque
In the last decades, it has been discussed the use of epidemiological prevalence ratio (PR) rather than odds ratio as a measure of association to be estimated in cross-sectional st…
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…