On the distribution of summary statistics for missing data |
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| Authors: | B M Ringham S M Kreidler K E Muller D H Glueck |
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| Institution: | 1. Department of Biostatistics and Informatics, University of Colorado Denver, Aurora, CO, U.S.A.;2. Kaztronix, Denver, CO, U.S.A.;3. Department of Health Outcomes and Policy, University of Florida, Gainesville, FL, U.S.A. |
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| 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. |
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| Keywords: | Longitudinal Missing data Multinomial Power multilevel |
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