کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
417904 681591 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data
چکیده انگلیسی

Semiparametric nonlinear mixed-effects (NLME) models are very flexible in modeling long-term HIV viral dynamics. In practice, statistical analyses are often complicated due to measurement errors and missing data in covariates and non-ignorable missing data in the responses. We consider likelihood methods which simultaneously address measurement error and missing data problems. A real dataset is analyzed in detail, and a simulation study is conducted to evaluate the methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 53, Issue 1, 15 September 2008, Pages 112–122
نویسندگان
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