TY - JOUR
AU1 - Chen, Kani
AU2 - Lin, Huazhen
AU3 - Zhou, Yong
AB - A proportional hazards model with varying coefficients allows one to examine the extent to which covariates interact nonlinearly with an exposure variable. A global partial likelihood method, in contrast with the local partial likelihood method of Fan et al. (2006), is proposed for estimation of varying coefficient functions. The proposed estimators are proved to be consistent and asymptotically normal. Semiparametric efficiency of the estimators is demonstrated in terms of their linear functionals. Evidence in support of the superiority of the method is presented in numerical studies and real examples.
TI - Efficient estimation for the Cox model with varying coefficients
JF - Biometrika
DO - 10.1093/biomet/asr081
DA - 2012-06-04
UR - https://www.deepdyve.com/lp/oxford-university-press/efficient-estimation-for-the-cox-model-with-varying-coefficients-Mae6jYXTWf
SP - 379
EP - 392
VL - 99
IS - 2
DP - DeepDyve
ER -