Lifetime Data Anal - Proportional hazards model with varying coefficients for length-biased data.

Tópicos

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Resumo

Length-biased data arise in many important applications including epidemiological cohort studies, cancer prevention trials and studies of labor economics. Such data are also often subject to right censoring due to loss of follow-up or the end of study. In this paper, we consider a proportional hazards model with varying coefficients for right-censored and length-biased data, which is used to study the interact effect nonlinearly of covariates with an exposure variable. A local estimating equation method is proposed for the unknown coefficients and the intercept function in the model. The asymptotic properties of the proposed estimators are established by using the martingale theory and kernel smoothing techniques. Our simulation studies demonstrate that the proposed estimators have an excellent finite-sample performance. The Channing House data is analyzed to demonstrate the applications of the proposed method.

Resumo Limpo

lengthbias data aris mani import applic includ epidemiolog cohort studi cancer prevent trial studi labor econom data also often subject right censor due loss followup end studi paper consid proport hazard model vari coeffici rightcensor lengthbias data use studi interact effect nonlinear covari exposur variabl local estim equat method propos unknown coeffici intercept function model asymptot properti propos estim establish use martingal theori kernel smooth techniqu simul studi demonstr propos estim excel finitesampl perform chan hous data analyz demonstr applic propos method

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