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The treatment of missing data in comparative effectiveness studies with right‐censored outcomes and time‐varying covariates is challenging because of the multilevel structure of the data. In particular, the performance of an accessible method like multiple imputation (MI) under an imputation model that ignores the multilevel structure is unknown and has not been compared to complete‐case (CC) and...
We provide two simple metrics that could be reported routinely in random‐effects meta‐analyses to convey evidence strength for scientifically meaningful effects under effect heterogeneity (ie, a nonzero estimated variance of the true effect distribution). First, given a chosen threshold of meaningful effect size, meta‐analyses could report the estimated proportion of true effect sizes above this threshold...
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