Items where Author is "Rubio, FJ"
Up a level |
Number of items: 8.
2018
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).
p. 615.
ISSN 1471-2407
DOI: https://doi.org/10.1186/s12885-018-4476-5
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.
ISSN 0007-0920
DOI: https://doi.org/10.1038/s41416-018-0170-2
Rubio, F;
Steel, M;
(2018)
Flexible linear mixed models with improper priors for longitudinal and survival data.
Electronic journal of statistics, 12 (1).
pp. 572-598.
ISSN 1935-7524
https://projecteuclid.org/euclid.ejs/1519700495
Full text not available from this repository.
Rubio, FJ;
Remontet, L;
Jewell, NP;
Belot, A;
(2018)
On a general structure for hazard-based regression models: An application to population-based cancer research.
Statistical methods in medical research.
p. 962280218782293.
ISSN 0962-2802
DOI: https://doi.org/10.1177/0962280218782293
Item availability may be restricted.
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 & data analysis, 124.
pp. 197-219.
ISSN 0167-9473
DOI: https://doi.org/10.1016/j.csda.2018.03.010
Item availability may be restricted.
2017
Dette, H;
Ley, C;
Rubio, F;
(2017)
Natural (Non-)Informative Priors for Skew-symmetric Distributions.
Scandinavian Journal of Statistics.
n/a-n/a.
ISSN 1467-9469
DOI: https://doi.org/10.1111/sjos.12306
Rossell, D;
Rubio, FJ;
(2017)
Tractable Bayesian variable selection: beyond normality.
Journal of the American Statistical Association.
0-0.
ISSN 0162-1459
DOI: https://doi.org/10.1080/01621459.2017.1371025
Item availability may be restricted.
2016
Rubio, FJ;
Yu, KM;
(2016)
Flexible objective Bayesian linear regression with applications in survival analysis.
Journal of applied statistics, 44 (5).
pp. 798-810.
ISSN 0266-4763
DOI: https://doi.org/10.1080/02664763.2016.1182138