TY - JOUR AU - Ma, Jinhui AU - Akhtar-Danesh, Noori AU - Dolovich, Lisa AU - Thabane, Lehana AU - the CHAT investigators PY - 2011 DA - 2011/02/16 TI - Imputation strategies for missing binary outcomes in cluster randomized trials JO - BMC Medical Research Methodology SP - 18 VL - 11 IS - 1 AB - 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 dependent missing, we compared six MI strategies which account for the intra-cluster correlation for missing binary outcomes in CRTs with the standard imputation strategies and complete case analysis approach using a simulation study. SN - 1471-2288 UR - https://doi.org/10.1186/1471-2288-11-18 DO - 10.1186/1471-2288-11-18 ID - Ma2011 ER -