causal
Analysis v1
When a study doesn't include enough people, the results might just be due to chance and not reflect what's really going on for most people.
Evidence from Studies
Supporting (1)
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Community contributions welcome
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Machine learning algorithm validation with a limited sample size
Computational/Algorithm Study
2019The study shows that when scientists use too few people in their studies, especially with complex data, the results can look better than they really are, which supports the idea that small studies are less reliable.
Contradicting (0)
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No contradicting evidence found
Gold Standard Evidence Needed
According to GRADE and EBM methodology, here is what ideal scientific evidence would look like to definitively prove or disprove this specific claim, ordered from strongest to weakest evidence.