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Sal Y Rosas Celi, Victor Giancarlo
Juarez García, Omar Alejandro
2023-07-20T21:32:19Z
2023-07-20T21:32:19Z
2023
2023-07-20
http://hdl.handle.net/20.500.12404/25419
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. (es_ES)
eng (es_ES)
Pontificia Universidad Católica del Perú (es_ES)
info:eu-repo/semantics/openAccess (es_ES)
http://creativecommons.org/licenses/by-nc/2.5/pe/ (*)
Análisis de regresión (es_ES)
Splines (Análisis numérico) (es_ES)
M-Splines baseline hazard approximation for the proportional hazard model with right censored data (es_ES)
info:eu-repo/semantics/masterThesis (es_ES)
Pontificia Universidad Católica del Perú. Escuela de Posgrado. (es_ES)
Estadística (es_ES)
Maestría (es_ES)
Maestro en Estadística (es_ES)
PE (es_ES)
https://purl.org/pe-repo/ocde/ford#1.01.03 (es_ES)
https://purl.org/pe-repo/renati/level#maestro (es_ES)
40361284
https://orcid.org/0000-0001-8636-7142 (es_ES)
71542123
542037 (es_ES)
Benites Sanchez, Luis Enrique (es_ES)
Sal Y Rosas Celi, Victor Giancarlo (es_ES)
Quiroz Cornejo, Zaida Jesús (es_ES)
https://purl.org/pe-repo/renati/type#tesis (es_ES)
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