Reweighted Mahalanobis distance matching for cluster-randomized trials with missing data
نویسندگان
چکیده
منابع مشابه
Imputation strategies for missing binary outcomes in cluster randomized trials
BACKGROUND Attrition, which leads to missing data, is a common problem in cluster randomized trials (CRTs), where groups of patients rather than individuals are randomized. Standard multiple imputation (MI) strategies may not be appropriate to impute missing data from CRTs since they assume independent data. In this paper, under the assumption of missing completely at random and covariate depen...
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ژورنال
عنوان ژورنال: Pharmacoepidemiology and Drug Safety
سال: 2012
ISSN: 1053-8569
DOI: 10.1002/pds.3260