dc.contributor.author | Huber-Carol, C. | en |
dc.contributor.author | Vonta, Filia | en |
dc.creator | Huber-Carol, C. | en |
dc.creator | Vonta, Filia | en |
dc.date.accessioned | 2019-12-02T10:35:24Z | |
dc.date.available | 2019-12-02T10:35:24Z | |
dc.date.issued | 2004 | |
dc.identifier.issn | 1380-7870 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/56892 | |
dc.description.abstract | In this paper, we propose a frailty model for statistical inference in the case where we are faced with arbitrarily censored and truncated data. Our results extend those of Alioum and Commenges (1996), who developed a method of fitting a proportional hazards model to data of this kind. We discuss the identifiability of the regression coefficients involved in the model which are the parameters of interest, as well as the identifiability of the baseline cumulative hazard function of the model which plays the role of the infinite dimensional nuisance parameter. We illustrate our method with the use of simulated data as well as with a set of real data on transfusion-related AIDS. © 2005 Kluwer Academic Publishers. | en |
dc.source | Lifetime Data Analysis | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-14844320792&doi=10.1007%2fs10985-004-4773-y&partnerID=40&md5=0fe1d447367c008a4eaa350792fc55bc | |
dc.subject | article | en |
dc.subject | human | en |
dc.subject | Humans | en |
dc.subject | female | en |
dc.subject | Survival Analysis | en |
dc.subject | survival | en |
dc.subject | male | en |
dc.subject | mortality | en |
dc.subject | statistical analysis | en |
dc.subject | statistical model | en |
dc.subject | blood transfusion | en |
dc.subject | comparative study | en |
dc.subject | Acquired Immunodeficiency Syndrome | en |
dc.subject | sensitivity and specificity | en |
dc.subject | proportional hazards model | en |
dc.subject | Proportional Hazards Models | en |
dc.subject | acquired immune deficiency syndrome | en |
dc.subject | Models, Statistical | en |
dc.subject | Data Interpretation, Statistical | en |
dc.subject | Censored data | en |
dc.subject | Frailty models | en |
dc.subject | Gamma frailty | en |
dc.subject | Inverse gaussian frailty | en |
dc.subject | life table | en |
dc.subject | Life Tables | en |
dc.subject | Nonparametric maximum likelihood estimation | en |
dc.subject | Transformation models | en |
dc.subject | Truncated data | en |
dc.title | Frailty models for arbitrarily censored and truncated data | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1007/s10985-004-4773-y | |
dc.description.volume | 10 | |
dc.description.issue | 4 | |
dc.description.startingpage | 369 | |
dc.description.endingpage | 388 | |
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 :15</p> | en |
dc.source.abbreviation | Lifetime Data Anal. | en |
dc.contributor.orcid | Vonta, Filia [0000-0002-7897-6797] | |
dc.gnosis.orcid | 0000-0002-7897-6797 | |