dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.contributor | Universidade Federal de Minas Gerais (UFMG) | |
dc.date.accessioned | 2014-05-20T13:48:04Z | |
dc.date.available | 2014-05-20T13:48:04Z | |
dc.date.created | 2014-05-20T13:48:04Z | |
dc.date.issued | 2010-01-01 | |
dc.identifier | Communications In Statistics-theory and Methods. Philadelphia: Taylor & Francis Inc, v. 39, n. 15, p. 2659-2666, 2010. | |
dc.identifier | 0361-0926 | |
dc.identifier | http://hdl.handle.net/11449/17136 | |
dc.identifier | 10.1080/03610920903009368 | |
dc.identifier | WOS:000280544900001 | |
dc.description.abstract | It is common to have experiments in which it is not possible to observe the exact lifetimes but only the interval where they occur. This sort of data presents a high number of ties and it is called grouped or interval-censored survival data. Regression methods for grouped data are available in the statistical literature. The regression structure considers modeling the probability of a subject's survival past a visit time conditional on his survival at the previous visit. Two approaches are presented: assuming that lifetimes come from (1) a continuous proportional hazards model and (2) a logistic model. However, there may be situations in which none of the models are adequate for a particular data set. This article proposes the generalized log-normal model as an alternative model for discrete survival data. This model was introduced by Chen (1995) and it is extended in this article for grouped survival data. A real example related to a Chagas disease illustrates the proposed model. | |
dc.language | eng | |
dc.publisher | Taylor & Francis Inc | |
dc.relation | Communications in Statistics: Theory and Methods | |
dc.relation | 0.353 | |
dc.relation | 0,352 | |
dc.rights | Acesso restrito | |
dc.source | Web of Science | |
dc.subject | Discrete models | |
dc.subject | Interval censoring | |
dc.subject | Logistic model | |
dc.subject | Proportional hazards model | |
dc.title | A Generalized Log-Normal Model for Grouped Survival Data | |
dc.type | Artículos de revistas | |