{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:ZURCJASKC7MIXPSMQJD7ZTZJCK","short_pith_number":"pith:ZURCJASK","schema_version":"1.0","canonical_sha256":"cd2224824a17d88bbe4c8247fccf29128812f2bce9b54e9693ca2f9d62c258f9","source":{"kind":"arxiv","id":"1707.06897","version":4},"attestation_state":"computed","paper":{"title":"Choosing Between Methods of Combining p-values","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Nicholas Heard, Patrick Rubin-Delanchy","submitted_at":"2017-07-21T13:52:21Z","abstract_excerpt":"Combining p-values from independent statistical tests is a popular approach to meta-analysis, particularly when the data underlying the tests are either no longer available or are difficult to combine. A diverse range of p-value combination methods appear in the literature, each with different statistical properties. Yet all too often the final choice used in a meta-analysis can appear arbitrary, as if all effort has been expended building the models that gave rise to the p-values. Birnbaum (1954) showed that any reasonable p-value combiner must be optimal against some alternative hypothesis. "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1707.06897","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-07-21T13:52:21Z","cross_cats_sorted":[],"title_canon_sha256":"b8f7fe74f6e3e7c5e8c0f5ee683963f564514ab41a1aff6ed8b43e813905de79","abstract_canon_sha256":"648584ca91a938c568584c74f6a5780dac922f1092adb64b63d22423b0cbad54"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:28:02.109545Z","signature_b64":"BjqK2UWUPchrKGQD3OZADpfBXpOpIr5JA+VdD7EpK8T+kyN7jvSfEcL4lgGE8cZI6YcJHTAjB6rkIdqrXVnACg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd2224824a17d88bbe4c8247fccf29128812f2bce9b54e9693ca2f9d62c258f9","last_reissued_at":"2026-05-18T00:28:02.108931Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:28:02.108931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Choosing Between Methods of Combining p-values","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Nicholas Heard, Patrick Rubin-Delanchy","submitted_at":"2017-07-21T13:52:21Z","abstract_excerpt":"Combining p-values from independent statistical tests is a popular approach to meta-analysis, particularly when the data underlying the tests are either no longer available or are difficult to combine. A diverse range of p-value combination methods appear in the literature, each with different statistical properties. Yet all too often the final choice used in a meta-analysis can appear arbitrary, as if all effort has been expended building the models that gave rise to the p-values. Birnbaum (1954) showed that any reasonable p-value combiner must be optimal against some alternative hypothesis. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06897","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1707.06897","created_at":"2026-05-18T00:28:02.109009+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.06897v4","created_at":"2026-05-18T00:28:02.109009+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06897","created_at":"2026-05-18T00:28:02.109009+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZURCJASKC7MI","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZURCJASKC7MIXPSM","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZURCJASK","created_at":"2026-05-18T12:31:59.375834+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2508.16399","citing_title":"Constraints on the extreme mass-ratio inspiral population from LISA data","ref_index":31,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK","json":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK.json","graph_json":"https://pith.science/api/pith-number/ZURCJASKC7MIXPSMQJD7ZTZJCK/graph.json","events_json":"https://pith.science/api/pith-number/ZURCJASKC7MIXPSMQJD7ZTZJCK/events.json","paper":"https://pith.science/paper/ZURCJASK"},"agent_actions":{"view_html":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK","download_json":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK.json","view_paper":"https://pith.science/paper/ZURCJASK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.06897&json=true","fetch_graph":"https://pith.science/api/pith-number/ZURCJASKC7MIXPSMQJD7ZTZJCK/graph.json","fetch_events":"https://pith.science/api/pith-number/ZURCJASKC7MIXPSMQJD7ZTZJCK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK/action/storage_attestation","attest_author":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK/action/author_attestation","sign_citation":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK/action/citation_signature","submit_replication":"https://pith.science/pith/ZURCJASKC7MIXPSMQJD7ZTZJCK/action/replication_record"}},"created_at":"2026-05-18T00:28:02.109009+00:00","updated_at":"2026-05-18T00:28:02.109009+00:00"}