{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:DM5TCJOQXBXWUFUJ45F3UFPRAE","short_pith_number":"pith:DM5TCJOQ","schema_version":"1.0","canonical_sha256":"1b3b3125d0b86f6a1689e74bba15f1013f23e9747f83ca87e81802cf32b9d1ee","source":{"kind":"arxiv","id":"1808.08229","version":1},"attestation_state":"computed","paper":{"title":"Cox Model with Covariate Measurement Error and Unknown Changepoint","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"David M. Zucker, Donna Spiegelman, Sarit Agami","submitted_at":"2018-08-24T08:06:08Z","abstract_excerpt":"The standard Cox model in survival analysis assumes that the covariate effect is constant across the entire covariate domain. However, in many applications, there is interest in considering the possibility that the covariate of main interest is subject to a threshold effect: a change in the slope at a certain point within the covariate domain. Often, the value of this threshold is unknown and need to be estimated. In addition, often, the covariate of interest is not measured exactly, but rather is subject to some degree of measurement error. In this paper, we discuss estimation of the model pa"},"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":"1808.08229","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-08-24T08:06:08Z","cross_cats_sorted":[],"title_canon_sha256":"b8aa0534930ecfd4b2f1b0f7c8416ae91afb4af1fe48e2473806a728945f162d","abstract_canon_sha256":"da0ef8db812c18fca797a384ad0643e4773ddebe6137390801ad205a168e3bd3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:21.741375Z","signature_b64":"JjdrxgDJC1+WUeXRTwR09L6ikoalgAwTK61kyQzwuK1wS+h2enlI74r9o70TcE32Sk+zp/eYKJRm5pyerCV1AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b3b3125d0b86f6a1689e74bba15f1013f23e9747f83ca87e81802cf32b9d1ee","last_reissued_at":"2026-05-18T00:07:21.740714Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:21.740714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cox Model with Covariate Measurement Error and Unknown Changepoint","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"David M. Zucker, Donna Spiegelman, Sarit Agami","submitted_at":"2018-08-24T08:06:08Z","abstract_excerpt":"The standard Cox model in survival analysis assumes that the covariate effect is constant across the entire covariate domain. However, in many applications, there is interest in considering the possibility that the covariate of main interest is subject to a threshold effect: a change in the slope at a certain point within the covariate domain. Often, the value of this threshold is unknown and need to be estimated. In addition, often, the covariate of interest is not measured exactly, but rather is subject to some degree of measurement error. In this paper, we discuss estimation of the model pa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08229","kind":"arxiv","version":1},"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":"1808.08229","created_at":"2026-05-18T00:07:21.740843+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.08229v1","created_at":"2026-05-18T00:07:21.740843+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08229","created_at":"2026-05-18T00:07:21.740843+00:00"},{"alias_kind":"pith_short_12","alias_value":"DM5TCJOQXBXW","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_16","alias_value":"DM5TCJOQXBXWUFUJ","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_8","alias_value":"DM5TCJOQ","created_at":"2026-05-18T12:32:19.392346+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE","json":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE.json","graph_json":"https://pith.science/api/pith-number/DM5TCJOQXBXWUFUJ45F3UFPRAE/graph.json","events_json":"https://pith.science/api/pith-number/DM5TCJOQXBXWUFUJ45F3UFPRAE/events.json","paper":"https://pith.science/paper/DM5TCJOQ"},"agent_actions":{"view_html":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE","download_json":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE.json","view_paper":"https://pith.science/paper/DM5TCJOQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.08229&json=true","fetch_graph":"https://pith.science/api/pith-number/DM5TCJOQXBXWUFUJ45F3UFPRAE/graph.json","fetch_events":"https://pith.science/api/pith-number/DM5TCJOQXBXWUFUJ45F3UFPRAE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE/action/storage_attestation","attest_author":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE/action/author_attestation","sign_citation":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE/action/citation_signature","submit_replication":"https://pith.science/pith/DM5TCJOQXBXWUFUJ45F3UFPRAE/action/replication_record"}},"created_at":"2026-05-18T00:07:21.740843+00:00","updated_at":"2026-05-18T00:07:21.740843+00:00"}