The diagnostic accuracy of serologic and molecular methods for detecting visceral leishmaniasis in HIV infected patients: meta-analysis GF Cota, MR De Sousa, FN Demarqui, A Rabello PLoS Neglected Tropical Diseases 6 (5), e1665, 2012 | 178 | 2012 |
Estimating the grid of time-points for the piecewise exponential model FN Demarqui, RH Loschi, EA Colosimo Lifetime Data Analysis 14, 333-356, 2008 | 48 | 2008 |
An approach to model clustered survival data with dependent censoring S Schneider, FN Demarqui, EA Colosimo, VD Mayrink Biometrical Journal 62 (1), 157-174, 2020 | 24 | 2020 |
Fully semiparametric Bayesian approach for modeling survival data with cure fraction FN Demarqui, DK Dey, RH Loschi, EA Colosimo Biometrical Journal 56 (2), 198-218, 2014 | 23 | 2014 |
Environmental factors on virulence of Aeromonas hydrophila REF Abreu, TC Magalhães, RC Souza, STL Oliveira, AMG Ibelli, ... Aquaculture international 26, 495-507, 2018 | 20 | 2018 |
A class of dynamic piecewise exponential models with random time grid FN Demarqui, RH Loschi, DK Dey, EA Colosimo Journal of Statistical Planning and Inference 142 (3), 728-742, 2012 | 19 | 2012 |
Risks and benefits of thrombolytic, antiplatelet, and anticoagulant therapies for st segment elevation myocardial infarction: Systematic review BR Nascimento, MR de Sousa, FN Demarqui, ALP Ribeiro International Scholarly Research Notices 2014, 2014 | 14 | 2014 |
A general GEE framework for the analysis of longitudinal ordinal missing data and related issues JLP da Silva, EA Colosimo, FN Demarqui Statistical Modelling 19 (2), 174-193, 2019 | 10 | 2019 |
An unified semiparametric approach to model lifetime data with crossing survival curves FN Demarqui, VD Mayrink, SK Ghosh arXiv preprint arXiv:1910.04475, 2019 | 8 | 2019 |
Efficacy of Aeromonas hydrophila S-layer bacterins with different protein profiles as a vaccine in Nile tilapia (Oreochromis niloticus) IP de Santana Lacerda, YS Gonçalves, STL de Oliveira, FN Demarqui, ... Afr J Microbiol Res 9 (29), 1770-1777, 2015 | 8 | 2015 |
Modeling survival data using the piecewise exponential model with random time grid FN Demarqui, DK Dey, RH Loschi, EA Colosimo Recent Advances in Biostatistics: False Discovery Rates, Survival Analysis …, 2011 | 8 | 2011 |
Yang and Prentice model with piecewise exponential baseline distribution for modeling lifetime data with crossing survival curves FN Demarqui, VD Mayrink | 7 | 2021 |
Free-ranging dogs’ lifetime estimated by an approach for long-term survival data with dependent censoring S Schneider, F Demarqui, E de Freitas Costa Environmental and Ecological Statistics 29 (4), 869-911, 2022 | 6 | 2022 |
Doubly robust-based generalized estimating equations for the analysis of longitudinal ordinal missing data JLP da Silva, EA Colosimo, FN Demarqui arXiv preprint arXiv:1506.04451, 2015 | 5 | 2015 |
Uma classe mais flexível de modelos semiparamétricos para dados de sobrevivência FN Demarqui Universidade Federal de Minas Gerais, 2010 | 5 | 2010 |
pexm: a JAGS module for applications involving the piecewise exponential distribution VD Mayrink, JDN Duarte, FN Demarqui arXiv preprint arXiv:2004.12359, 2020 | 3 | 2020 |
Modelo exponencial por partes via modelos partição produto FN Demarqui Universidade Federal de Minas Gerais, 2006 | 2 | 2006 |
A Class of Semiparametric Yang and Prentice Frailty Models CHX Oliveira, FN Demarqui, VD Mayrink arXiv preprint arXiv:2403.07650, 2024 | 1 | 2024 |
Semiparametric Modeling for Multivariate Survival Data via Copulas FN Demarqui arXiv preprint arXiv:2203.03325, 2022 | 1 | 2022 |
Product Partition Dynamic Generalized Linear Models VS Comitti, FN Demarqui, TR Santos, JA Almeida arXiv preprint arXiv:2103.02470, 2021 | 1 | 2021 |