The proportional hazard model plays a fundamental role in the analysis of time-to-event
data. In this thesis, we conduct a simulation study to evaluate the performance of M-splines
to estimate the baseline cumulative hazard function for the proportional hazard model. We
assess the effect of sample size and number of knots in the estimation process. Finally, we
apply this method to a sample of students from a university where the event of interest is
the payment on time of the last tuition fee.
| Identifer | oai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:20.500.12404/25419 |
| Date | 20 July 2023 |
| Creators | Juarez García, Omar Alejandro |
| Contributors | Sal Y Rosas Celi, Victor Giancarlo |
| Publisher | Pontificia Universidad Católica del Perú, PE |
| Source Sets | Pontificia Universidad Católica del Perú |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Format | application/pdf, application/pdf |
| Rights | info:eu-repo/semantics/openAccess, http://creativecommons.org/licenses/by-nc/2.5/pe/ |
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