  Proportional mean residual life model is studied for analysing survival data
from the case-cohort design. To simultaneously estimate the regression
parameters and the baseline mean residual life function, weighted estimating
equations based on an inverse selection probability are proposed. The resulting
regression coefficients estimates are shown to be consistent and asymptotic
normal with easily estimated variance-covariance. Simulation studies show that
the proposed estimators perform very well. An application to a real dataset
from the South Welsh nickel refiners study is also given to illustrate the
methodology.
