학술논문
On the distribution of summary statistics for missing data.
Document Type
Article
Source
Subject
*FALSE positive error
*EXPECTED returns
*REGRESSION analysis
*MISSING data (Statistics)
*LONGITUDINAL method
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Language
ISSN
0361-0926
Abstract
Under an assumption that missing values occur randomly in a matrix, formulae are developed for the expected value and variance of six statistics that summarize the number and location of the missing values. For a seventh statistic, a regression model based on simulated data yields an estimate of the expected value. The results can be used in the development of methods to control the Type I error and approximate power and sample size for multilevel and longitudinal studies with missing data. [ABSTRACT FROM AUTHOR]