On the existence of a normal approximation to the distribution of the ratio of two independent normal random variables E Díaz-Francés, FJ Rubio Statistical Papers 54, 309-323, 2013 | 139 | 2013 |
Inference in Two-Piece Location-Scale Models with Jeffreys Priors (with discussion) FJ Rubio, MFJ Steel Bayesian Analysis 9 (1), 2014 | 63* | 2014 |
Summarizing and communicating on survival data according to the audience: a tutorial on different measures illustrated with population-based cancer registry data A Belot, A Ndiaye, MA Luque-Fernandez, DK Kipourou, C Maringe, ... Clinical Epidemiology, 53-65, 2019 | 52 | 2019 |
A simple approach to maximum intractable likelihood estimation FJ Rubio, AM Johansen Electronic Journal of Statistics 7, 1632-1654, 2013 | 52 | 2013 |
Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions FJ Rubio, MFJ Steel Electronic Journal of Statistics 9, 1884-1912, 2015 | 42 | 2015 |
On a general structure for hazard-based regression models: an application to population-based cancer research FJ Rubio, L Remontet, NP Jewell, A Belot Statistical methods in medical research 28 (8), 2404-2417, 2019 | 39 | 2019 |
On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables FJ Rubio, B Rachet, R Giorgi, C Maringe, A Belot Biostatistics 22 (1), 51-67, 2021 | 38 | 2021 |
Tractable Bayesian variable selection: beyond normality D Rossell, FJ Rubio Journal of the American Statistical Association 113 (524), 1742-1758, 2018 | 31 | 2018 |
Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis FJ Rubio, MG Genton Statistics in Medicine 35 (14), 2441–2454, 2016 | 29 | 2016 |
Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula C Villa, FJ Rubio Computational Statistics & Data Analysis 124, 197-219, 2018 | 28 | 2018 |
On the Marshall–Olkin transformation as a skewing mechanism FJ Rubio, MFJ Steel Computational Statistics & Data Analysis 56 (7), 2251-2257, 2012 | 26 | 2012 |
Bayesian Inference for P(X<Y) Using Asymmetric Dependent Distributions FJ Rubio, MFJ Steel Bayesian Analysis 8 (1), 43-62, 2013 | 23 | 2013 |
Additive Bayesian variable selection under censoring and misspecification D Rossell, FJ Rubio Statistical Science 38 (1), 13-29, 2023 | 21 | 2023 |
A tractable Bayesian joint model for longitudinal and survival data D Alvares, FJ Rubio Statistics in Medicine 40 (19), 4213-4229, 2021 | 18 | 2021 |
On modelling asymmetric data using two-piece sinh-arcsinh distributions FJ Rubio, EO Ogundimu, JL Hutton Brazilian Journal of Probability and Statistics 30, 485–501, 2016 | 16* | 2016 |
Survival and lifetime data analysis with a flexible class of distributions FJ Rubio, Y Hong Journal of Applied Statistics 43, 1794-1813, 2016 | 14 | 2016 |
On the independence Jeffreys prior for skew-symmetric models FJ Rubio, B Liseo Statistics & Probability Letters 85, 91-97, 2014 | 14 | 2014 |
Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology C Maringe, A Belot, FJ Rubio, B Rachet BMC medical research methodology 19, 1-18, 2019 | 12 | 2019 |
Natural (Non‐) Informative Priors for Skew‐symmetric Distributions H Dette, C Ley, F Rubio Scandinavian Journal of Statistics 45 (2), 405-420, 2018 | 12 | 2018 |
Flexible linear mixed models with improper priors for longitudinal and survival data FJ Rubio, MFJ Steel Electronic Journal of Statistics 12 (1), 572-598, 2018 | 12 | 2018 |