Testing goodness-of-fit for the proportional hazards model based on nested case-control data.

ABSTRACT: Nested case-control sampling is a popular design for large epidemiological cohort studies due to its cost effectiveness. A number of methods have been developed for the estimation of the proportional hazards model with nested case-control data; however, the evaluation of modeling assumption is less attended. In this article, we propose a class of goodness-of-fit test statistics for testing the proportional hazards assumption based on nested case-control data. The test statistics are constructed based on asymptotically mean-zero processes derived from Samuelsen's maximum pseudo-likelihood estimation method. In addition, we develop an innovative resampling scheme to approximate the asymptotic distribution of the test statistics while accounting for the dependent sampling scheme of nested cas

SUBMITTER: Lu W 

PROVIDER: S-EPMC4276544 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature