Lifetime Data Anal - On estimation of linear transformation models with nested case-control sampling.

Tópicos

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Resumo

Nested case-control (NCC) sampling is widely used in large epidemiological cohort studies for its cost effectiveness, but its data analysis primarily relies on the Cox proportional hazards model. In this paper, we consider a family of linear transformation models for analyzing NCC data and propose an inverse selection probability weighted estimating equation method for inference. Consistency and asymptotic normality of our estimators for regression coefficients are established. We show that the asymptotic variance has a closed analytic form and can be easily estimated. Numerical studies are conducted to support the theory and an application to the Wilms' Tumor Study is also given to illustrate the methodology.

Resumo Limpo

nest casecontrol ncc sampl wide use larg epidemiolog cohort studi cost effect data analysi primarili reli cox proport hazard model paper consid famili linear transform model analyz ncc data propos invers select probabl weight estim equat method infer consist asymptot normal estim regress coeffici establish show asymptot varianc close analyt form can easili estim numer studi conduct support theori applic wilm tumor studi also given illustr methodolog

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