{"entity":{"id":"p-value","kind":"term","name":"P-value","aka":["p-values","p value","p values","p<0.05","p < 0.05","p<0.001","p < 0.001","significance level","two-sided","one-sided","nominal p","nominally significant","did not reach statistical significance","not statistically significant","non-significant","nonsignificant"],"tldr":"The probability of seeing a difference at least this large if the treatment actually did nothing. Below 0.05 (a 1 in 20 chance) is the conventional threshold for calling a result 'statistically significant'. It measures surprise, not the size of the benefit: a trivial gain in a huge trial can have a tiny p-value.","summary":"A small p-value means the result would be unlikely under pure chance, but it does not measure how big or how clinically meaningful the effect is; a trivial benefit in a huge trial can have a tiny p-value while a large benefit in a small trial can miss significance. Trials with several endpoints or several interim looks must spend their 0.05 across them (hierarchical testing, alpha spending), which is why an endpoint can be 'nominally significant' yet not count formally. The confidence interval conveys the same information about significance while also showing the size of the effect, and is generally more useful.","asOf":"2026-09-09","wikipedia":"https://en.wikipedia.org/wiki/P-value","links":[{"label":"Wikipedia","url":"https://en.wikipedia.org/wiki/P-value"}],"tags":[],"related":["confidence-interval","hazard-ratio","endpoint","randomised-trial","statistical-significance","group-sequential-design","bayesian-trial-design","prespecified-vs-post-hoc"],"cancers":[],"sections":[],"technologies":[],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":[],"keyPapers":[],"journals":[],"dependsOn":[],"notes":[],"category":"Clinic basics"},"route":"/terms/p-value/","neighbours":{"term":[{"id":"bayesian-trial-design","kind":"term","name":"Bayesian trial design","route":"/terms/bayesian-trial-design/"},{"id":"confidence-interval","kind":"term","name":"Confidence interval","route":"/terms/confidence-interval/"},{"id":"endpoint","kind":"term","name":"Endpoint","route":"/terms/endpoint/"},{"id":"group-sequential-design","kind":"term","name":"Group sequential design, stopping rules and alpha spending","route":"/terms/group-sequential-design/"},{"id":"hazard-ratio","kind":"term","name":"Hazard ratio (HR)","route":"/terms/hazard-ratio/"},{"id":"prespecified-vs-post-hoc","kind":"term","name":"Pre-specified vs post-hoc analysis","route":"/terms/prespecified-vs-post-hoc/"},{"id":"randomised-trial","kind":"term","name":"Randomised trial","route":"/terms/randomised-trial/"},{"id":"hazard-ratio-basics","kind":"term","name":"Reading a hazard ratio","route":"/terms/hazard-ratio-basics/"},{"id":"statistical-significance","kind":"term","name":"Statistical significance (P values, alpha, multiplicity)","route":"/terms/statistical-significance/"}]}}