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Number of items: 30.
Article
Alvares, D;
Rubio, FJ;
(2021)
A tractable Bayesian joint model for longitudinal and survival data.
Statistics in Medicine
, 40
(19)
pp. 4213-4229.
10.1002/sim.9024.
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Amaral, André Victor Ribeiro;
Rubio, Francisco Javier;
Quaresma, Manuela;
Rodríguez-Cortés, Francisco J;
Moraga, Paula;
(2024)
Extended excess hazard models for spatially dependent survival data.
Statistical Methods in Medical Research
10.1177/09622802241233767.
(In press).
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Basak, Piyali;
Maringe, Camille;
Rubio, F Javier;
Linero, Antonio R;
(2025)
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning.
Journal of the American Statistical Association
10.1080/01621459.2025.2547968.
(In press).
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Belot, A;
Ndiaye, A;
Luque-Fernandez, M-A;
Kipourou, D-K;
Maringe, C;
Rubio, FJ;
Rachet, B;
(2019)
Summarizing and communicating on survival data according to the audience: a tutorial on different measures illustrated with population-based cancer registry data.
Clinical Epidemiology
, 11
pp. 53-65.
10.2147/CLEP.S173523.
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Christen, J Andres;
Rubio Alvarez, Francisco Javier;
(2024)
Dynamic survival analysis: Modelling the hazard function via ordinary differential equations.
Statistical Methods in Medical Research
10.1177/09622802241268504.
(In press).
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Dette, H;
Ley, C;
Rubio, F;
(2018)
Natural (Non‐)Informative Priors for Skew‐symmetric Distributions.
Scandinavian Journal of Statistics
, 45
(2)
pp. 405-420.
10.1111/sjos.12306.
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Exarchakou, Aimilia;
Rachet, Bernard;
Lyratzopoulos, Georgios;
Maringe, Camille;
Rubio, Francisco Javier;
(2024)
What can hospital emergency admissions prior to cancer diagnosis tell us about socio-economic inequalities in cancer diagnosis? Evidence from population-based data in England.
British Journal of Cancer
, 130
pp. 1960-1968.
10.1038/s41416-024-02688-6.
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Li, W;
Rubio, FJ;
(2022)
On a prior based on the Wasserstein information matrix.
Statistics and Probability Letters
, 190
, Article 109645. 10.1016/j.spl.2022.109645.
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Maringe, C;
Belot, A;
Rubio, FJ;
Rachet, B;
(2019)
Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology.
BMC Medical Research Methodology
, 19
(1)
p. 210.
10.1186/s12874-019-0830-9.
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Maringe, C;
Pashayan, N;
Rubio, FJ;
Ploubidis, G;
Duffy, SW;
Rachet, B;
Raine, R;
(2018)
Trends in lung cancer emergency presentation in England, 2006–2013: is there a pattern by general practice?
BMC Cancer
, 18
(1)
, Article 615. 10.1186/s12885-018-4476-5.
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Maringe, C;
Rachet, B;
Lyratzopoulos, G;
Rubio, FJ;
(2018)
Persistent inequalities in unplanned hospitalisation among colon cancer patients across critical phases of their care pathway, England, 2011-13.
British Journal of Cancer
, 119
pp. 551-557.
10.1038/s41416-018-0170-2.
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Montoya, JEA;
Rubio, FJ;
(2014)
Nonparametric inference for P(X < Y) with paired variables.
Journal of Data Science
, 12
(2)
pp. 359-375.
10.6339/jds.201404_12(2).0009.
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Quaresma, Manuela;
Rubio, Francisco Javier;
Rachet, Bernard;
(2024)
An index of cancer survival to measure progress in cancer control: A tutorial.
Cancer Epidemiology
, 90
, Article 102576. 10.1016/j.canep.2024.102576.
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Rollet, Q;
Exarchakou, A;
Launoy, G;
Merville, O;
Rubio, FJ;
Belot, A;
(2023)
Functional forms of socio-territorial inequities in breast cancer screening – A French cross-sectional study using hierarchical generalised additive models.
Preventive Medicine
, 173
, Article 107587. 10.1016/j.ypmed.2023.107587.
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Rossell, David;
Rubio Alvarez, Francisco Javier;
(2023)
Additive Bayesian Variable Selection under Censoring and Misspecification.
Statistical Science
, 38
(1)
pp. 13-29.
10.1214/21-STS846.
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Rossell, D;
Rubio, FJ;
(2018)
Tractable Bayesian variable selection: beyond normality.
Journal of the American Statistical Association
, 113
(524)
pp. 1742-1758.
10.1080/01621459.2017.1371025.
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Rubio, FJ;
Alvares, D;
Redondo-Sanchez, D;
Marcos-Gragera, R;
Sánchez, MJ;
Luque-Fernandez, MA;
(2022)
Bayesian variable selection and survival modeling: assessing the Most important comorbidities that impact lung and colorectal cancer survival in Spain.
BMC Medical Research Methodology
, 22
, Article 95. 10.1186/s12874-022-01582-0.
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Rubio, Francisco J;
Espindola, Jorge A;
Montoya, José A;
(2023)
On near-redundancy and identifiability of parametric hazard regression models under censoring.
Biometrical Journal
, Article e2300006. 10.1002/bimj.202300006.
(In press).
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Rubio, Francisco J;
Putter, Hein;
Belot, Aurélien;
(2023)
Individual frailty excess hazard models in cancer epidemiology.
Statistics in Medicine
10.1002/sim.9657.
(In press).
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Rubio, FJ;
Ogundimu, EO;
Hutton, JL;
(2016)
On modelling asymmetric data using two-piece sinh–arcsinh distributions.
Brazilian Journal of Probability and Statistics
, 30
(3)
pp. 485-501.
10.1214/15-bjps290.
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Rubio, FJ;
Rachet, B;
Giorgi, R;
Maringe, C;
Belot, A;
(2021)
On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables.
Biostatistics
, 22
(1)
pp. 51-67.
10.1093/biostatistics/kxz017.
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Rubio, FJ;
Remontet, L;
Jewell, NP;
Belot, A;
(2019)
On a general structure for hazard-based regression models: An application to population-based cancer research.
Statistical Methods in Medical Research
, 28
(8)
pp. 2404-2417.
10.1177/0962280218782293.
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Rubio, FJ;
Steel, MFJ;
(2018)
Flexible linear mixed models with improper priors for longitudinal and survival data.
Electronic Journal of Statistics
, 12
(1)
pp. 572-598.
10.1214/18-EJS1401.
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Rubio, FJ;
Yu, K;
(2017)
Flexible objective Bayesian linear regression with applications in survival analysis.
Journal of Applied Statistics
, 44
(5)
pp. 798-810.
10.1080/02664763.2016.1182138.
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Rubio Alvarez, Francisco Javier;
Christen, J Andres;
(2024)
On harmonic oscillator hazard functions.
Statistics and Probability Letters
10.1016/j.spl.2024.110304.
(In press).
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Rubio Alvarez, Francisco Javier;
Drikvandi, Reza;
(2022)
MEGH: A parametric class of general hazard models for clustered survival data.
Statistical Methods in Medical Research
(In press).
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Rubio Alvarez, Francisco Javier;
Eletti, Alessia;
Marra, Giampiero;
Quaresma, Manuela;
Radice, Rosalba;
(2022)
A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology.
Journal of the Royal Statistical Society Series C: Applied Statistics
, 71
(4)
pp. 1044-1062.
10.1111/rssc.12566.
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Rubio Alvarez, Francisco Javier;
Memeh, Ester;
Ali, Yasir;
Hancock, Craig;
Haque, Mazharul;
(2024)
Gap acceptance behaviour and crash risks of mobile phone distracted young drivers at roundabouts: A random parameters survival model.
Accident Analysis & Prevention
, 206
, Article 107720. 10.1016/j.aap.2024.107720.
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Rubio Alvarez, Javier;
Iqbal, Adam;
Ogundimu, Emmanuel;
(2025)
Bayesian Variable Selection Under Sample Selection and Model Misspecification.
Bayesian Analysis
10.1214/25-BA1567.
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Villa, C;
Rubio, FJ;
(2018)
Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula.
Computational Statistics and Data Analysis
, 124
pp. 197-219.
10.1016/j.csda.2018.03.010.
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