Some Notes on Blinded Sample Size Re-Estimation
classification
📊 stat.ME
stat.AP
keywords
errortestingtypeblindedinvestigatesnumberre-estimationsample
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This note investigates a number of scenarios in which unadjusted testing following a blinded sample size re-estimation leads to type I error violations. For superiority testing, this occurs in certain small-sample borderline cases. We discuss a number of alternative approaches that keep the type I error rate. The paper also gives a reason why the type I error inflation in the superiority context might have been missed in previous publications and investigates why it is more marked in case of non-inferiority testing.
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