TABLE 4.

Simulation Posterior Summaries for Partially-Missing Within-Study Correlations: MAR Missingness

Missing Data Mechanism: MAR Taking Into Account Observed Trial-Level Variables
Missing, Non-Missing Average rj Discrepancy = 0.2
	Mean Impute (d)								Informative Uniform Prior (e)								Hierarchical Conditional Prio (h)
	β Bias		CVG*		CVG		σe Bias		β Bias		CVG*		CVG		σe Bias		β Bias		CVG*		CVG		σe Bias
	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3	Setup 2	Setup 3
PM=0.2	0.10	0.01	0.98	0.98	0.96	0.95	−0.02	0.00	0.10	0.01	0.98	0.98	0.96	0.95	−0.02	0.00	0.04	0.01	0.98	0.98	0.96	0.95	−0.02	0.00
PM=0.5	0.23	0.00	0.93	0.99	0.93	0.96	−0.03	0.00	0.23	0.00	0.92	0.99	0.92	0.96	−0.03	0.00	0.09	0.01	0.97	0.98	0.93	0.96	−0.02	0.00
PM=0.8	0.30	0.01	0.93	0.98	0.91	0.96	−0.04	0.00	0.31	0.01	0.92	0.98	0.91	0.96	−0.04	0.00	0.08	0.01	0.97	0.98	0.96	0.96	−0.02	0.00

PM: Proportion Missing; Setup 2: Average SEs equivalent to between-study SDs. Setup 3: Average SEs one-tenth the size of between-study SDs. Reminder: Hierarchical Conditional Prior conditions on one continuous simulated trial-level summary variable. Letters (e.g. (d)) displayed correspond to those used to define missing data handling strategies introduced in-text.