کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
416383 681358 2016 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error
ترجمه فارسی عنوان
تخمین میانگین و کوواریانس مدل های مدل خطی برای داده های طولی با پاسخ های گم شده و خطای اندازه گیری متغیر
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی

Missing responses and covariate measurement error are very commonly seen in practice. New estimating equations are developed to simultaneously estimate the mean and covariance under a partially linear model for longitudinal data with missing responses and covariate measurement error. Specifically, a novel approach is proposed to handle measurement error by using independent replicate measurements. Compared with existing methods, the proposed method requires fewer assumptions. For example, it does not require to specify the distribution of the mismeasured covariate or the measurement error, and does not need a parametric model to estimate the probability of being observed or to impute the missing responses. Additionally, the proposed estimating equations are easy to implement in most popular statistical softwares by applying existing algorithms for standard generalized estimating equations. The asymptotic properties of the proposed estimators are established under regularity conditions, and simulation studies demonstrate desired properties. Finally, the proposed method is applied to data from the Lifestyle Education for Activity and Nutrition (LEAN) study. This data analysis confirms the effectiveness of the intervention in producing weight loss at month nine.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 96, April 2016, Pages 24–39
نویسندگان
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