Publications

Inference for grouped data with a truncated skew-Laplace distribution, with M. F. J. Steel. Computational Statistics and Data Analysis (2011) 55: 3218–3231. [RPubs]

On the Marshall-Olkin transformation as a skewing mechanism, with M. F. J. Steel. Computational Statistics and Data Analysis (2012) 56: 2251–2257. 

Bayesian Inference for P(X<Y) using asymmetric dependent distributions, with M. F. J. Steel. Bayesian Analysis (2013) 8: 43–62. 

On the existence of a normal approximation to the distribution of the ratio of two independent normal random variables, with E. Díaz-Francés. Statistical Papers (2013) 54: 309-323. [RPubs]

A note on the infinite divisibility of a class of transformations of normal variables, with A. Murillo-Salas, Brazilian Journal of Probability and Statistics (2013) 27: 601-607. [Preprint]

A simple approach to maximum intractable likelihood estimation, with A. M. Johansen, Electronic Journal of Statistics (2013) 7: 1632–1654. [CRiSM]. [RPubs]

On the independence Jeffreys prior for skew-symmetric models, with B. Liseo. Statistics & Probability Letters (2014) 85: 91-97. [Preprint with applications] [RPubs]

Inference in two-piece location-scale models with Jeffreys priors (with discussion), with M. F. J. Steel. Bayesian Analysis (2014) 9: 1-22. [Supplemental Materials] (see also 'twopiece' R Package) [RPubs] 

Nonparametric inference for P(X<Y) with paired variables, with J. A. Montoya. Journal of Data Science (2014) 12: 359-375. [Preprint] [RPubs] 

On the propriety of the posterior of hierarchical linear mixed models with flexible random effects distributions (2015) 96: 154-161. Statistics & Probability Letters. [Preprint]

Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions, with M. F. J. Steel. Electronic Journal of Statistics (2015) 9: 1884-1912. [Preprint] [CRiSM] [RPubs] [Prior for t distribution] [Galton's data] [DTP-SAS] (see also 'DTP' R Package) 

Survival and lifetime data analysis with a flexible class of distributions, with Y. Hong. Journal of Applied Statistics, (2016) 43: 1794-1813. [Preprint] (see also 'twopiece' R Package) [RPubs]

Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis, with M. G. Genton.  Statistics in Medicine, (2016) 35: 2441–2454. [Preprint] [RPubs]

On modelling asymmetric data using two-piece sinh-arcsinh distributions, with E. O. Ogundimu and J. L. Hutton. Brazilian Journal of Probability and Statistics, (2016) 30: 485–501. [pdf] [Preprint] (see also 'TPSAS' R Package) [RPubs]

Flexible objective Bayesian linear regression with applications in survival analysis, with K. Yu. Journal of Applied Statistics, (2017) 44: 798-810. [Preprint] [Supplemental Material] (see also 'twopiece' R Package) [RPubs]

Flexible linear mixed models with improper priors for longitudinal and survival data, with M. F. J. Steel. Electronic Journal of Statistics (2018) 12: 572-598. [Preprint] [RPubs1] [RPubs2]. 

Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula, with C. Villa. Computational Statistics and Data Analysis (2018) 124: 197-219.  [Preprint] [Rpubs0] [RPubs1] [RPubs2] [RPubs3] [RPubs4]

Natural (non-)informative priors for skew-symmetric distributions, with H. Dette and C. Ley. Scandinavian Journal of Statistics (2018) 45: 405–420. [Preprint] [Supplementary Material] [RPubs] [Adddendum (RPubs)]

Tractable Bayesian variable selection: beyond normality, with D. Rossell. Journal of the American Statistical Association - Theory and Methods (2018) 113: 1742-1758. [Preprint] [See also mombf R package and twopiece R package] [RPubs]

On a general structure for hazard-based regression models: an application to population-based cancer research, with L. Remontet, N. P. Jewell, and A. Belot. Statistical Methods in Medical Research (2019) 28: 2404–2417. [Preprint] [RPubs-PH] [dataPH] [Rpubs-GH] [dataGH] [GitHub] [RPubs PGW] [GHSurv R package] [HazReg R package]

Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology, with C. Maringe, A. Belot, and B. Rachet. BMC Medical Research Methodology (2019) 19, 210. 

On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables, with B. Rachet, R. Giorgi, C. Maringe, and A. Belot. Biostatistics (2021) 22: 51–67. [Preprint, arXiv] [Supplementary Material] [Simulated Data] [RPubs] [RPubs PGW] .

A tractable Bayesian joint model for longitudinal and survival data, with D. Alvares. Statistics in Medicine (2021) 40: 4213-4229. [GitHub] [RPubs1] [RPubs2] [Preprint] [Supplementary Material] [arXiv]

 Bayesian variable selection and survival modeling: Assessing the most important comorbidities that impact lung and colorectal cancer survival in Spain, with D. Alvares, D. Redondo-Sanchez, R. Marcos-Gragera, M.J. Sánchez, and M.A. Luque-Fernandez. BMC Medical Research Methodology (2022) 22, 95. [GitHub] 

MEGH: A parametric class of general hazard models for clustered survival data, with R. Drikvandi. Statistical Methods in Medical Research (2022) 31: 1603-1616. [Preprint] [Supplementary Material] [arXiv] [GitHub]

A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology, with A. Eletti, G. Marra, M. Quaresma, R. Radice. Journal of the Royal Statistical Society: Series C (2022) 71: 1044-1062. [GitHub] [arXiv] [Preprint] [Supplementary Material]

 On a prior based on the Wasserstein information matrix, with W. Li. Statistics & Probability Letters (2022) 190: 109645.  [Preprint] [GitHub]

 Additive Bayesian variable selection under censoring and misspecification, with D. Rossell.  Statistical Science (2023) 38: 13-29. [arXiv] [Suppl. R code] [Article].

 Individual frailty excess hazard models in cancer epidemiology, with A. Belot and H. Putter. Statistics in Medicine (2023) 42: 1066–1081. [GitHub] [Preprint] [Supplementary Material] [arXiv]

 On near-redundancy and identifiability of parametric hazard regression models under censoring, with J.A. Montoya and J.A. Espindola. Biometrical Journal (2023) 65: 2300006. [GitHub] [arXiv]

 Extended Excess Hazard Models for Spatially Dependent Survival Data, with A. V. Ribeiro-Amaral, M. Quaresma, F. J. Rodríguez-Cortés, and P. Moraga. Statistical Methods in Medical research (2024) 33: 681-701. [Preprint] [GitHub] 

Trends in lung cancer emergency presentation in England, 2006-13: is there a pattern by general practice?, with C. Maringe, N. Pashayan, G. Ploubidis, S.W. Duffy, B. Rachet and R. Raine. BMC Cancer, (2018) 18:615. 

Persistent inequalities in unplanned hospitalisation among colon cancer patients across critical phases of their care pathway, England, 2011-13, with C. Maringe, B. Rachet, and G. Lyratzopoulos. British Journal of Cancer (2018). [CRUK Press] [LSHTM News] 

Summarizing and communicating on survival data according to the audience: a tutorial on different measures illustrated with population-based cancer registry data, with A. Belot, A. Ndiaye, M.A. Luque-Fernandez, D.K. Kipourou, C. Maringe, and B. Rachet. Clinical Epidemiology (2019) 11: 53-65.  [Corrigendum]

Functional forms of socio-territorial inequities in breast cancer screening – A French cross-sectional study using hierarchical generalised additive models, with Q. Rollet, A. Exarchakou, G. Launoy, and A. Belot. Preventive Medicine (2023) 173: 107587. [Preprint]  https://doi.org/10.1016/j.ypmed.2023.107587

An Index of Cancer Survival to Measure Progress in Cancer Control: A Tutorial, with M. Quaresma and B. Rachet. Cancer Epidemiology (2024), 90: 102576. [GitHub] https://doi.org/10.1016/j.canep.2024.102576

Letter to the Editor: Bayesian inference for the ratio of the means of two normal populations with unequal variances, with S. Pérez-Elizalde. Biometrical Journal (2009) 51: 736-738. [RPubs]

Letter to the Editor: On the use of improper priors for the shape parameters of asymmetric exponential power models. Statistics and Computing (2015) 25: 1281-1287.  (see also ['DTP' R Package]) 

Discussion of: "On Families of Distributions with Shape Parameters" by M. C. Jones, with M. F. J. Steel. International Statistical Review (2015) 83: 218-222. 

Article: The family of two-piece distributions, with M. F. J. Steel. Significance Magazine, 17, 1 (2020). [RPubs] [rstan] [twopiece R package]

Letter to the Editor: "On Quantile-based Asymmetric Family of Distributions: Properties and Inference". International Statistical Review (2020) 88: 793-796. [Preprint]

Comment on: "On a Class of Objective Priors from Scoring Rules" by Leisen, Villa and Walker; with M. F. J. Steel. Bayesian Analysis (2021).

Book chapter: "Balancing Sparsity and Power: Likelihoods, Priors, and Misspecification", in "Handbook of Bayesian Variable Selection", with D. Rossell. Chapman and Hall/CRC (2021). [Supporting Material]

Software Review: Excess Hazard Modelling with R Package GJRM. LiDS Newsletter, July 2023.

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, with E. Exarchakou, B. Rachet, C. Maringe and Y. Lyratzopoulos. British Journal of Cancer (2024+), in press. [Communication]

Dynamic Survival Analysis: Modelling the Hazard Function via Ordinary Differential Equations, with J.A. Christen. [Preprint] [GitHub R] [GitHub Python]

Bayesian variable selection in sample selection models using spike-and-slab priors, with A. Iqbal and E. Ogundimu. [Preprint] [GitHub]

Assessing predictive abilities of hazard-based regression models for survival data: a tutorial for prognosis modelling, with M. Fournier, L. Chartier, C. Maringe, and A. Belot. [Preprint] [GitHub]