RT Journal Article
T1 A semiparametric generalized proportional hazards model for right-censored data
A1 Avendano, M.L.
A1 Pardo Llorente, María del Carmen
AB We introduce a flexible family of semiparametric generalized logit-based regression models for survival analysis. Its hazard rates are proportional as the Cox model, but its relative risk related to a covariate is different for the values of the other covariates. The method of partial likelihood approach is applied to estimate its parameters in presence of right censoring and its asymptotic normality is established. We perform a simulation study to evaluate the finite-sample performance of these estimators. This new family of models is illustrated with lung cancer data and compared with Cox model. The importance of the conclusions obtained from the relative risk is pointed out.
PB Springer
SN 0020-3157
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/24403
UL https://hdl.handle.net/20.500.14352/24403
LA eng
NO MAEC-AECID
DS Docta Complutense
RD 3 may 2024