University of Limerick Institutional Repository

The Weibull MPR model for interval censored survival data

DSpace Repository

Show simple item record

dc.contributor.author Peng, Defen
dc.contributor.author Burke, Kevin
dc.contributor.author MacKenzie, Gilbert
dc.date.accessioned 2018-07-26T14:33:11Z
dc.date.available 2018-07-26T14:33:11Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/10344/6994
dc.description peer-reviewed en_US
dc.description.abstract The Weibull multi-parameter regression (MPR) model with frailty is developed for interval censored survival data. The basic MPR model which is wholly parametric with non-proportional hazards was developed by Burke and MacKenzie in their 2016 Biometrics paper. We describe the basic model, develop the interval-censored likelihood and extend the model to include Gamma frailty. We present a simulation study and re-analyse data from the Signal Tandmo- biel study. The MPR model is shown to be superior to a proportional hazards competitor. en_US
dc.language.iso eng en_US
dc.publisher IWSM en_US
dc.relation.ispartofseries Proceedings of the 33rd International workshop on Statistical Modelling;vol, 1, pp. 237-241
dc.relation.uri http://www.statmod.org/index.html
dc.subject interval censoring en_US
dc.subject MPR survival models en_US
dc.subject Weibull MPR model en_US
dc.title The Weibull MPR model for interval censored survival data en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search ULIR


Browse

My Account

Statistics