| dc.date.accessioned | 2019-03-27T15:56:56Z | |
| dc.date.accessioned | 2022-10-18T22:07:33Z | |
| dc.date.available | 2019-03-27T15:56:56Z | |
| dc.date.available | 2022-10-18T22:07:33Z | |
| dc.date.created | 2019-03-27T15:56:56Z | |
| dc.date.issued | 2016 | |
| dc.identifier | http://hdl.handle.net/10533/233680 | |
| dc.identifier | 1141193 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4465037 | |
| dc.description.abstract | Motivated by a longitudinal oral health study, we propose a modelling approach for clustered
time-to-event data, when the response of interest can only be determined to lie in an interval
obtained from a sequence of examination times and the determination | |
| dc.language | eng | |
| dc.relation | info:eu-repo/grantAgreement/Fondecyt/1141193 | |
| dc.relation | Joint Statistical Meetings | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | AFT Modeling of Misclassified Clustered Interval-Censored Data | |
| dc.type | Ponencia | |