Multiple imputation of missing data with ante-dependence covariance structure
Paul Zhang
Journal of Applied Statistics, 2005, vol. 32, issue 2, 141-155
Abstract:
A controlled clinical trial was conducted to investigate the efficacy effect of a chemical compound in the treatment of Premenstrual Dysphoric Disorder (PMDD). The data from the trial showed a non-monotone pattern of missing data and an ante-dependence covariance structure. A new analytical method for imputing the missing data with the ante-dependence covariance is proposed. The PMDD data are analysed by the non-imputation method and two imputation methods: the proposed method and the MCMC method.
Keywords: Missing data; multiple imputation; ante-dependence covariance (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:32:y:2005:i:2:p:141-155
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DOI: 10.1080/02664760500054178
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