Ontology highlight
ABSTRACT:
SUBMITTER: Chen Y
PROVIDER: S-EPMC3846278 | biostudies-literature | 2010
REPOSITORIES: biostudies-literature
Chen Ying Y Chen Kani K Ying Zhiliang Z
Statistica Sinica 20100101 33
The marginal proportional hazards model is an important tool in the analysis of multivariate failure time data in the presence of censoring. We propose a method of estimation via the linear combinations of martingale residuals. The estimation and inference procedures are easy to implement numerically. The estimation is generally more accurate than the existing pseudo-likelihood approach: the size of efficiency gain can be considerable in some cases, and the maximum relative efficiency in theory ...[more]