Prediction for Transition Probabilities in Multi-State Models
| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Spitoni, C | |
| dc.contributor.author | Snijders, M. | |
| dc.date.accessioned | 2017-02-22T18:20:56Z | |
| dc.date.available | 2017-02-22T18:20:56Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/25472 | |
| dc.description.abstract | The problem of censoring causes estimating transition probabilities in datasets with incomplete data to be interesting and complicated. The main focus of this thesis is on developing theory for a hazard based (Markov) multi-state model, a useful estimator of the transition probabilities and how to combine this with extra information available of an individual. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 536226 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | Prediction for Transition Probabilities in Multi-State Models | |
| dc.type.content | Bachelor Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Wiskunde |