Accelerated failure time model for data from outcome-dependent sampling.

ABSTRACT: Outcome-dependent sampling designs such as the case-control or case-cohort design are widely used in epidemiological studies for their outstanding cost-effectiveness. In this article, we propose and develop a smoothed weighted Gehan estimating equation approach for inference in an accelerated failure time model under a general failure time outcome-dependent sampling scheme. The proposed estimating equation is continuously differentiable and can be solved by the standard numerical methods. In addition to developing asymptotic properties of the proposed estimator, we also propose and investigate a new optimal power-based subsamples allocation criteria in the proposed design by maximizing the power function of a significant test. Simulation results show that the proposed estimator is more eff

SUBMITTER: Yu J 

PROVIDER: S-EPMC7856009 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature