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What are typical hidden pitfalls when performing subgroup analysis on experi...
Paper Discussion
Subgroup analysis is frequently used to explore heterogeneous experimental effects. Without careful handling it brings multiple risks including multiple‑comparison bias and small‑sample instability. What mistakes do you observe in published subgroup‑analysis work?
Ping Zheng, Ping Lu and 92 others4 Comments-
Many researchers run many subgroup tests without pre‑registering their hypotheses.
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Small sample sizes within subgroups produce highly unstable effect estimates.
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Authors sometimes over‑interpret marginally significant subgroup interaction signals.
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Readers should check whether subgroup analysis was planned or post‑hoc exploratory digging.
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