A Large Sample Study of the Estimate for the Survival Distribution in Cox’x Regression Model

摘要: Regression models for survival analysis with censored observations have been used quite extensively in the past few years. One of more widely is one suggested by Cox (1972), which assumes that hazard rate related to set covariated denoted vector \(\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle\thicksim}$}}{z} = \left( {{z_1}, \ldots ,{z_p}} \right)\) as follows: $$\lambda {t|\mathop{z}\limits_{ \sim } \right) {\lambda _{o}}\left( t \right)\exp {{\beta _{1}}{z_{1}} + {\beta _{p}}{z_{p}}} \right)$$ where λo(t) denotes an arbitrary underlying function.