| A random‐censoring Poisson model for underreported data GL de Oliveira, RH Loschi, RM Assunção Statistics in medicine 36 (30), 4873-4892, 2017 | 38 | 2017 |
| Estimating underreporting of leprosy in Brazil using a Bayesian approach GL de Oliveira, JF Oliveira, JM Pescarini, RFS Andrade, JS Nery, ... PLoS neglected tropical diseases 15 (8), e0009700, 2021 | 24 | 2021 |
| Mortality in children under 5 years of age with congenital syphilis in Brazil: A nationwide cohort study ES Paixao, AJF Ferreira, IO Dos Santos, LC Rodrigues, R Fiaccone, ... Plos Medicine 20 (4), e1004209, 2023 | 18 | 2023 |
| Bias correction in clustered underreported data G Lopes de Oliveira, R Argiento, R Helena Loschi, R Martins Assunção, ... Bayesian Analysis 17 (1), 95-126, 2022 | 18 | 2022 |
| Profile of COVID-19 in Brazil—risk factors and socioeconomic vulnerability associated with disease outcome: retrospective analysis of population-based registers FAC Pereira, MHS Fábio Filho, AR de Azevedo, GL de Oliveira, ... BMJ Global Health 7 (12), e009489, 2022 | 12 | 2022 |
| Maternal and congenital syphilis attributable to ethnoracial inequalities: a national record-linkage longitudinal study of 15 million births in Brazil ES Paixao, AJF Ferreira, JM Pescarini, KLM Wong, E Goes, R Fiaccone, ... The Lancet Global Health 11 (11), e1734-e1742, 2023 | 8 | 2023 |
| Profile of Covid-19 in Brazil: Risk Factors and Socioeconomic Vulnerability Associated with Disease Outcome FAC Pereira, AR de Azevedo, GL de Oliveira, R Flores-Ortiz, LIO Valencia, ... Available at SSRN 4081979, 2022 | 6 | 2022 |
| A completeness indicator of gestational and congenital syphilis information in Brazil GL Oliveira, AJF Ferreira, JG Santana, RM Lana, AM Cardoso, C Teles, ... Revista de saude publica 57, 42, 2023 | 4 | 2023 |
| Estimating the real burden of gestational syphilis in Brazil, 2007–2018: a Bayesian modeling study GL de Oliveira, AJF Ferreira, CA de SS Teles, ES Paixao, R Fiaccone, ... The Lancet Regional Health–Americas 25, 2023 | 2 | 2023 |
| Estimating the real burden of gestational syphilis in Brazil, 2007–2018: a Bayesian modeling study GL Oliveira, AJF Ferreira, CASS Teles, ES Paixao, R Fiaccone, R Lana, ... Elsevier, 2023 | 1 | 2023 |
| Brazilian COVID-19 data streaming NB da Silva, LIO Valencia, A Ferreira, FAC Pereira, GL de Oliveira, ... arXiv preprint arXiv:2205.05032, 2022 | 1 | 2022 |
| Sewerage as a protective factor for prevalence of hookworm infection in schoolchildren in Brazil: A multilevel ecological analysis of national prevalence surveys (1950–2018) MCS Santos, GL de Oliveira, SA Mingoti, L Heller Science of The Total Environment 895, 164621, 2023 | | 2023 |
| Effect of environmental factors in reducing the prevalence of schistosomiasis in schoolchildren: An analysis of three extensive national prevalence surveys in Brazil (1950–2018) GL de Oliveira, SA Mingoti, L Heller PLoS Neglected Tropical Diseases 17 (7), e0010804, 2023 | | 2023 |
| Effect of environmental factors in reducing the prevalence of schistosomiasis in schoolchildren: A panel analysis of three extensive national prevalence surveys in Brazil (1950 … MCS Santos, GL de Oliveira, SA Mingoti, L Heller medRxiv, 2022.09. 12.22279843, 2022 | | 2022 |
| SCOPING REVIEW DOS FATORES ASSOCIADOS A SÍFILIS GESTACIONAL E CONGÊNITA MAS SOARES, TL QUEIROZ, R AQUINO, MY ICHIHARA, AJF FERREIRA, ... Galoá, 2022 | | 2022 |
| Bayesian Dynamic Estimation of Mortality Schedules in Small Areas GL de Oliveira, RH Loschi, RM Assunção arXiv preprint arXiv:2105.02203, 2021 | | 2021 |
| Estimation of underreporting in Brazilian tuberculosis data, 2012-2014 GL de Oliveira, RH Loschi arXiv preprint arXiv:2105.00890, 2021 | | 2021 |
| QUALIDADE DAS INFORMAÇÕES DE NOTIFICAÇÕES DE SÍFILIS GESTACIONAL E CONGÊNITA JG Santana, GL de Oliveira, CA de SS Teles, RL Fiaccone, R Aquino, ... Galoá, 2021 | | 2021 |
| Challenges in modeling count data: Bayesian models for correction of underreporting bias and estimation of mortality schedules GL de Oliveira Universidade Federal de Minas Gerais, 2020 | | 2020 |
| Modeling underreported infant mortality data with a random censoring poisson model GL de Oliveira Universidade Federal de Minas Gerais, 2016 | | 2016 |
