Skip to main content

Table 2 Summary table of proposed general approaches for handling missing participant data for continuous outcomes

From: Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches

  Complete case analysis Imputations for participants with missing outcome data Take uncertainty into account Relation with ITT principle Approach assesses risk of bias associated with missing data Testing of the proposed approach
Based on reasons for missingness Based on mean observed in the same arm Based on mean observed in the other arm Based on mean observed in other included trials Other imputation method
Ebrahim et al. [9]
As primary analysis Applied in 2 meta-analyses of 16 RCTs
Higgins et al. [12]   
As primary analysis (point of reference) As primary analysis (preferred) Relative to risk among followed up; best and worst-case scenarios Applied in 1 meta-analysis of 20 RCTs