On the distribution of summary statistics for missing data

B. M. Ringham, S. M. Kreidler, K. E. Muller and D. H. Glueck

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 5, 1149-1165

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.

Date: 2019
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DOI: 10.1080/03610926.2018.1425447

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