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Treatment group outcome variance difference after dropout as an indicator of missing-not-at-random bias in randomized clinical trials

2022-04-18 epidemiology Title + abstract only
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Randomized controlled trials (RCTs) are considered the gold standard for assessing the causal effect of an exposure on an outcome, but are vulnerable to bias from missing data. When outcomes are missing not at random (MNAR), estimates from complete case analysis (CCA) will be biased. There is no statistical test for distinguishing between outcomes missing at random (MAR) and MNAR, and current strategies rely on comparing dropout proportions and covariate distributions, and using auxiliary inform...

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