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Papers of the Week
An Empirical Comparison of Statistical Methods for Missing Data in Randomized, Double-Blind, Placebo-Controlled, Phase 3 Clinical Trials for Chronic Pain and Lipid-Lowering Products.
Abstract
Missing data are uncollected data but meaningful for the statistical analysis due to clinical relevancy of the data for properly specified estimands in clinical trials. Meanwhile the efforts to prevent or minimize missing data are commonly applied in clinical trials, in practice, missing data still occurs. Choosing a statistical method for imputation that deals with missing data targeting specified estimands provides the more reliable estimates of treatment effects.