Estimating risk from underpowered, but statistically significant, studies: was APPROVe on TARGET?
Adam La Caze; Stephen B. Duffull · 2010 · Journal of Clinical Pharmacy and Therapeutics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
The finding, in one line
“WHAT IS KNOWN AND OBJECTIVE: The importance of statistical power is widely recognized from a pre-trial perspective, and when interpreting results that are not statistically significant.”
Abstract (excerpt)
WHAT IS KNOWN AND OBJECTIVE: The importance of statistical power is widely recognized from a pre-trial perspective, and when interpreting results that are not statistically significant. It is less well recognized that poor power can lead…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1111/j.1365-2710.2010.01222.x