{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:S7OLVH7KZWKFND4VVKKKOUCJAA","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":"22cd5e38606fa76ba74ce000fa84a8638e07ebe27b480d52cf5357d9088f780e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-03-15T21:54:51Z","title_canon_sha256":"29f7e19ff0dd94777529760be41446e6dd8e3a23c79d7e5fcdfa4770edf0842a"},"schema_version":"1.0","source":{"id":"2503.12270","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.12270","created_at":"2026-06-02T03:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2503.12270v1","created_at":"2026-06-02T03:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.12270","created_at":"2026-06-02T03:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"S7OLVH7KZWKF","created_at":"2026-06-02T03:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"S7OLVH7KZWKFND4V","created_at":"2026-06-02T03:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"S7OLVH7K","created_at":"2026-06-02T03:05:03Z"}],"graph_snapshots":[{"event_id":"sha256:bef8d526f0067a6b62bdd7c7eb920527300b4ed2f06a482a5a585a981eb45ed9","target":"graph","created_at":"2026-06-02T03:05:03Z","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/2503.12270/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Within-individual variability of health indicators measured over time is becoming commonly used to inform about disease progression. Simple summary statistics (e.g. the standard deviation for each individual) are often used but they are not suited to account for time changes. In addition, when these summary statistics are used as covariates in a regression model for time-to-event outcomes, the estimates of the hazard ratios are subject to regression dilution. To overcome these issues, a joint model is built where the association between the time-to-event outcome and multivariate longitudinal m","authors_text":"Angela M Wood, David Taylor-Robinson, Graciela Muniz-Terrera, Jessica K Barrett, Marco Palma, Rhonda Szczesniak, Ruth H Keogh, Siobh\\'an B Carr","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-03-15T21:54:51Z","title":"A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.12270","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":"sha256:591a2548da8d9db2cd25f69ee07df3b692407c7866518db980e695c6bdf34ef5","target":"record","created_at":"2026-06-02T03:05:03Z","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":"22cd5e38606fa76ba74ce000fa84a8638e07ebe27b480d52cf5357d9088f780e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-03-15T21:54:51Z","title_canon_sha256":"29f7e19ff0dd94777529760be41446e6dd8e3a23c79d7e5fcdfa4770edf0842a"},"schema_version":"1.0","source":{"id":"2503.12270","kind":"arxiv","version":1}},"canonical_sha256":"97dcba9feacd94568f95aa94a75049001bbe35091e318a6a038d6d253a2b1ed4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97dcba9feacd94568f95aa94a75049001bbe35091e318a6a038d6d253a2b1ed4","first_computed_at":"2026-06-02T03:05:03.385961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T03:05:03.385961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gfJOu8TqFS2IvSaMO7wxQ3sUnZE4gpvZTB11vYeVg1p853WHeTfipscmwsIjZSDTS6cDv8HPiccNjZO0HyOgBQ==","signature_status":"signed_v1","signed_at":"2026-06-02T03:05:03.386467Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.12270","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:591a2548da8d9db2cd25f69ee07df3b692407c7866518db980e695c6bdf34ef5","sha256:bef8d526f0067a6b62bdd7c7eb920527300b4ed2f06a482a5a585a981eb45ed9"],"state_sha256":"1f1c6e572d70f9bcc1c8771396e6352c5e5f5d06f7a11bfa832a637e5e7f9c5d"}