کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
417713 681560 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A latent class selection model for nonignorably missing data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
A latent class selection model for nonignorably missing data
چکیده انگلیسی

When we have data with missing values, the assumption that data are missing at random is very convenient. It is, however, sometimes questionable because some of the missing values could be strongly related to the underlying true values. We introduce methods for nonignorable multivariate missing data, which assume that missingness is related to the variables in question, and to the additional covariates, through a latent variable measured by the missingness indicators. The methodology developed here is useful for investigating the sensitivity of one’s estimates to untestable assumptions about the missing-data mechanism. A simulation study and data analysis are conducted to evaluate the performance of the proposed method and to compare to that of MAR-based alternatives.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 55, Issue 1, 1 January 2011, Pages 802–812
نویسندگان
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