dc.contributor.author | Aastveit, Marthe Elisabeth | |
dc.contributor.author | Cunen, Celine Marie Løken | |
dc.contributor.author | Hjort, Nils Lid | |
dc.date.accessioned | 2024-04-11T06:08:32Z | |
dc.date.available | 2024-04-11T06:08:32Z | |
dc.date.created | 2023-04-24T11:46:04Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Statistical Methods in Medical Research. 2023, 32 (6), 1053-1246. | en_US |
dc.identifier.issn | 0962-2802 | |
dc.identifier.uri | https://hdl.handle.net/11250/3125928 | |
dc.description.abstract | There are few computational and methodological tools available for the analysis of general multi-state models with interval censoring. Here, we propose a general framework for parametric inference with interval censored multi-state data. Our framework can accommodate any parametric model for the transition times, and covariates may be included in various ways. We present a general method for constructing the likelihood, which we have implemented in a ready-to-use R package, smms, available on GitHub. The R package also computes the required high-dimensional integrals in an efficient manner. Further, we explore connections between our modelling framework and existing approaches: our models fall under the class of semi-Markovian multi-state models, but with a different, and sparser parameterisation than what is often seen. We illustrate our framework through a dataset monitoring heart transplant patients. Finally, we investigate the effect of some forms of misspecification of the model assumptions through simulations. | |
dc.description.abstract | A new framework for semi-Markovian parametric multi-state models with interval censoring | |
dc.language.iso | eng | en_US |
dc.title | A new framework for semi-Markovian parametric multi-state models with interval censoring | en_US |
dc.title.alternative | A new framework for semi-Markovian parametric multi-state models with interval censoring | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | acceptedVersion | |
dc.description.version | acceptedVersion | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |
dc.identifier.doi | 10.1177/09622802231160550 | |
dc.identifier.cristin | 2142833 | |
dc.source.journal | Statistical Methods in Medical Research | en_US |
dc.source.volume | 32 | en_US |
dc.source.issue | 6 | en_US |
dc.source.pagenumber | 1053-1246 | en_US |