摘要
本文给出可交换条件下多维协变量的带有测量误差的多维结构回归模型,利用该模型研究总体平均处理效应的估计,给出当暴露组和对照组的协变量测量误差同分布时总体平均处理效应的拟极大似然估计及其性质.
In this paper,the multi-dimensional structural regression models with multidimensional covariates and the measurement errors under exchangeability condition are given.The models are studied to estimate the population-averaged treatment effects.When the measurement errors of the covariates in the treatment population and the control population have the same distributions,the quasi-maximum likelihood estimator of the population-averaged treatment effect and its characters are given.
出处
《生物数学学报》
CSCD
北大核心
2008年第3期496-500,共5页
Journal of Biomathematics
基金
国家自然科学基金重点课题资助项目(39930160)
关键词
总体平均处理效应
多维结构回归模型
拟极大似然估计
协变量
测量误差
Population-averaged treatment effect
Multi-dimensional structural regression model
Quasi-maximum likelihood estimator
Covariate
Measurement error
