| New defective models based on the Kumaraswamy family of distributions with application to cancer data sets R Rocha, S Nadarajah, V Tomazella, F Louzada, A Eudes Statistical methods in medical research 26 (4), 1737-1755, 2017 | 45 | 2017 |
| A new class of defective models based on the Marshall–Olkin family of distributions for cure rate modeling R Rocha, S Nadarajah, V Tomazella, F Louzada Computational Statistics & Data Analysis 107, 48-63, 2017 | 45 | 2017 |
| Newdistns: An R package for new families of distributions S Nadarajah, R Rocha Journal of Statistical Software 69, 1-32, 2016 | 42 | 2016 |
| Defective models induced by gamma frailty term for survival data with cured fraction J Scudilio, VF Calsavara, R Rocha, F Louzada, V Tomazella, ... Journal of Applied Statistics 46 (3), 484-507, 2019 | 26 | 2019 |
| A new cure rate model with flexible competing causes with applications to melanoma and transplantation data J Leão, M Bourguignon, DI Gallardo, R Rocha, V Tomazella Statistics in Medicine 39 (24), 3272-3284, 2020 | 24 | 2020 |
| Defective regression models for cure rate modeling with interval‐censored data VF Calsavara, AS Rodrigues, R Rocha, V Tomazella, F Louzada Biometrical Journal 61 (4), 841-859, 2019 | 22 | 2019 |
| Two new defective distributions based on the Marshall–Olkin extension R Rocha, S Nadarajah, V Tomazella, F Louzada Lifetime data analysis 22, 216-240, 2016 | 22 | 2016 |
| Zero-adjusted defective regression models for modeling lifetime data VF Calsavara, AS Rodrigues, R Rocha, F Louzada, V Tomazella, ... Journal of Applied Statistics, 2019 | 16 | 2019 |
| Negative binomial Kumaraswamy-G cure rate regression model A D’Andrea, R Rocha, V Tomazella, F Louzada Journal of risk and financial management 11 (1), 6, 2018 | 13 | 2018 |
| Defective models for cure rate modeling RF Rocha Universidade Federal de São Carlos, 2016 | 6 | 2016 |
| Bayesian and classic inference for the defective gompertz cure rate model RF Rocha, VLD Tomazella, F Louzada Revista Brasileira de Biometria 32 (1), 104-114, 2014 | 6 | 2014 |
| Newdistns: Computes PDF, CDF, quantile and random numbers, measures of inference for 19 general families of distributions S Nadarajah, R Rocha R package version 2, 2016 | 5 | 2016 |
| Comparison of resampling method applied to censored data C Arrabal, R Da Rocha, R Nonaka, S Meira International Journal of Advanced Statistics and Probability 2 (2), 48-55, 2014 | 5 | 2014 |
| Inferencia classica e bayesiana para o modelo de fracao de cura gompertz defeituoso R Rocha, V Tomazella, F Louzada Revista Brasileira de Biometria 32 (1), 104-114, 2014 | 4 | 2014 |
| Combinação de classificadores para inferência dos rejeitados RF Rocha Universidade Federal de São Carlos, 2012 | 1 | 2012 |
| Combinação de modelos de transferência de aprendizado: uma nova abordagem para a detecção do câncer de pele F Moraes, AK Suzuki, F Louzada, R Rocha Livro de resumos, 2023 | | 2023 |
| Ensemble de modelos de transferência de aprendizado: uma nova abordagem para detecção de câncer de mama AK Suzuki, F Louzada, R Rocha Livro de Resumos, 2023 | | 2023 |
| Inferência dos rejeitados: aumentando a capacidade preditiva da modelagem via combinação de modelos F Louzada, CAR Diniz, RF Rocha, O Anacleto Tecnologia de Crédito, 7-17, 2011 | | 2011 |
Francisco LouzadaUniversidade de São PauloVerified email at icmc.usp.br