Statistical inference for the accelerated failure time model under multivariate outcome dependent sampling design
Department of Mathematics
National Taiwan Normal University
email@example.comResearchers are always seeking for cost-effective designs due to a limited budget, especially for large biomedical or epidemiological studies. An outcome-dependent sampling (ODS) design, a retrospective sampling scheme, has been shown to improve the study efficiency while effectively reducing the monetary burden. Under the ODS design, one observes the covariates with a probability depending on the outcome and selects several supplemental samples from the most informative and appealing segments. Lu, Longnecker, and Zhou (2017) extended the ODS design to incorporate multivariate data often appeared in the recent studies and proposed a further generalization of the biased sampling.
Keyword: outcome-dependent sampling, multivariate, AFT model, semiparametric