{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OIBN6TO4D7XNZQE42CQG5A7EOP","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1f75f93389d769191fc1b2c06dedf40dae95dd7a6586d2d9e575d0beffc7fdaf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2025-01-24T13:34:47Z","title_canon_sha256":"c13f3e3611e36a8d7bce4f34a952ca74e6dfbdb64abc49576303c9b0682d514d"},"schema_version":"1.0","source":{"id":"2501.14482","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.14482","created_at":"2026-07-05T10:05:01Z"},{"alias_kind":"arxiv_version","alias_value":"2501.14482v1","created_at":"2026-07-05T10:05:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.14482","created_at":"2026-07-05T10:05:01Z"},{"alias_kind":"pith_short_12","alias_value":"OIBN6TO4D7XN","created_at":"2026-07-05T10:05:01Z"},{"alias_kind":"pith_short_16","alias_value":"OIBN6TO4D7XNZQE4","created_at":"2026-07-05T10:05:01Z"},{"alias_kind":"pith_short_8","alias_value":"OIBN6TO4","created_at":"2026-07-05T10:05:01Z"}],"graph_snapshots":[{"event_id":"sha256:529a095450a5365453e9462f70263fbf9a733bb10dcd0dcd5f0a6847bd8cd649","target":"graph","created_at":"2026-07-05T10:05:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2501.14482/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background: When developing a clinical prediction model using time-to-event data, previous research focuses on the sample size to minimise overfitting and precisely estimate the overall risk. However, instability of individual-level risk estimates may still be large. Methods: We propose a decomposition of Fisher's information matrix to examine and calculate the sample size required for developing a model that aims for precise and fair risk estimates. We propose a six-step process which can be used before data collection or when an existing dataset is available. Steps (1) to (5) require researc","authors_text":"Amardeep Legha, Gary S Collins, Glen P Martin, Joie Ensor, Joseph Alderman, Laura Kirton, Lucinda Archer, Mohsen Sadatsafavi, Nicola J Adderley, Paula Dhiman, Rebecca Whittle, Richard D Riley","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2025-01-24T13:34:47Z","title":"A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.14482","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b140e80db52d768e6641e6a93852a120d369b38ce056b235e6fd3a75326723de","target":"record","created_at":"2026-07-05T10:05:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1f75f93389d769191fc1b2c06dedf40dae95dd7a6586d2d9e575d0beffc7fdaf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2025-01-24T13:34:47Z","title_canon_sha256":"c13f3e3611e36a8d7bce4f34a952ca74e6dfbdb64abc49576303c9b0682d514d"},"schema_version":"1.0","source":{"id":"2501.14482","kind":"arxiv","version":1}},"canonical_sha256":"7202df4ddc1feedcc09cd0a06e83e473c0489d0879e3228e052203f31d231587","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7202df4ddc1feedcc09cd0a06e83e473c0489d0879e3228e052203f31d231587","first_computed_at":"2026-07-05T10:05:01.494864Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:01.494864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AsuVmyfw0FlXtIHDhT1jn2FwOBsu0rHLTyd5OKlfJoEvs+ulWy4bIP52O0MNDScx69tMFX9dcqB4VyBvGLIcAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:01.495307Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.14482","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b140e80db52d768e6641e6a93852a120d369b38ce056b235e6fd3a75326723de","sha256:529a095450a5365453e9462f70263fbf9a733bb10dcd0dcd5f0a6847bd8cd649"],"state_sha256":"804db0ab000931582eef6b5632c9f5a92ab8bc1b6717af494a47eee6baf3723e"}