dc.contributor.author | Vonta, Filia | en |
dc.contributor.author | Karagrigoriou, Alex | en |
dc.creator | Vonta, Filia | en |
dc.creator | Karagrigoriou, Alex | en |
dc.date.accessioned | 2019-12-02T10:38:47Z | |
dc.date.available | 2019-12-02T10:38:47Z | |
dc.date.issued | 2007 | |
dc.identifier.issn | 1380-7870 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/57757 | |
dc.description.abstract | In this paper, the variable selection strategies (criteria) are thoroughly discussed and their use in various survival models is investigated. The asymptotic efficiency property, in the sense of Shibata Ann Stat 8: 147-164, 1980, of a class of variable selection strategies which includes the AIC and all criteria equivalent to it, is established for a general class of survival models, such as parametric frailty or transformation models and accelerated failure time models, under minimum conditions. Furthermore, a multiple imputations method is proposed which is found to successfully handle censored observations and constitutes a competitor to existing methods in the literature. A number of real and simulated data are used for illustrative purposes. © 2007 Springer Science+Business Media, LLC. | en |
dc.source | Lifetime Data Analysis | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548560272&doi=10.1007%2fs10985-007-9050-4&partnerID=40&md5=ce8026146388dc3f8f0e5e5c747ce355 | |
dc.subject | article | en |
dc.subject | human | en |
dc.subject | Humans | en |
dc.subject | Survival Analysis | en |
dc.subject | survival | en |
dc.subject | Lung Neoplasms | en |
dc.subject | mortality | en |
dc.subject | statistical analysis | en |
dc.subject | statistical model | en |
dc.subject | lung tumor | en |
dc.subject | comparative study | en |
dc.subject | computer simulation | en |
dc.subject | Models, Statistical | en |
dc.subject | Data Interpretation, Statistical | en |
dc.subject | AIC | en |
dc.subject | Frailty models | en |
dc.subject | Transformation models | en |
dc.subject | Asymptotic efficiency | en |
dc.subject | Accelerated failure time models | en |
dc.subject | biliary cirrhosis | en |
dc.subject | Liver Cirrhosis, Biliary | en |
dc.subject | Multiple imputations | en |
dc.subject | Variable selection | en |
dc.title | Variable selection strategies in survival models with multiple imputations | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1007/s10985-007-9050-4 | |
dc.description.volume | 13 | |
dc.description.issue | 3 | |
dc.description.startingpage | 295 | |
dc.description.endingpage | 315 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :3</p> | en |
dc.source.abbreviation | Lifetime Data Anal. | en |
dc.contributor.orcid | Karagrigoriou, Alex [0000-0002-4919-2133] | |
dc.contributor.orcid | Vonta, Filia [0000-0002-7897-6797] | |
dc.gnosis.orcid | 0000-0002-4919-2133 | |
dc.gnosis.orcid | 0000-0002-7897-6797 | |