{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:5MHS265IXWKHDH6D2NVGJZK2SV","short_pith_number":"pith:5MHS265I","canonical_record":{"source":{"id":"1310.8176","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-10-30T14:48:17Z","cross_cats_sorted":[],"title_canon_sha256":"1b67d8a10e6d2fc92d4f4c1dc2c0b6e3c7053512e0cf398446e2e93b4465190c","abstract_canon_sha256":"7e56c4c024eb9848a1adcec3344f36986e950a4b2b80b4c82577a437226c778c"},"schema_version":"1.0"},"canonical_sha256":"eb0f2d7ba8bd94719fc3d36a64e55a9553a5863bca3caf5267f0f5723158940f","source":{"kind":"arxiv","id":"1310.8176","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.8176","created_at":"2026-05-18T02:48:27Z"},{"alias_kind":"arxiv_version","alias_value":"1310.8176v2","created_at":"2026-05-18T02:48:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.8176","created_at":"2026-05-18T02:48:27Z"},{"alias_kind":"pith_short_12","alias_value":"5MHS265IXWKH","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_16","alias_value":"5MHS265IXWKHDH6D","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_8","alias_value":"5MHS265I","created_at":"2026-05-18T12:27:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:5MHS265IXWKHDH6D2NVGJZK2SV","target":"record","payload":{"canonical_record":{"source":{"id":"1310.8176","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-10-30T14:48:17Z","cross_cats_sorted":[],"title_canon_sha256":"1b67d8a10e6d2fc92d4f4c1dc2c0b6e3c7053512e0cf398446e2e93b4465190c","abstract_canon_sha256":"7e56c4c024eb9848a1adcec3344f36986e950a4b2b80b4c82577a437226c778c"},"schema_version":"1.0"},"canonical_sha256":"eb0f2d7ba8bd94719fc3d36a64e55a9553a5863bca3caf5267f0f5723158940f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:48:27.234004Z","signature_b64":"R3eaoaBBs+3zTzme5sXhB9lr3aXEsHQO6F/DCVleLziRF3Da4Q1HykuW/FqL57OqGxx5z/tqLjsoKCjdmTmXCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb0f2d7ba8bd94719fc3d36a64e55a9553a5863bca3caf5267f0f5723158940f","last_reissued_at":"2026-05-18T02:48:27.233349Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:48:27.233349Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1310.8176","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:48:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bIs6JIS8G34JlkJVR2LYHGDehiqXdArueLo7Za5g+SBITwJItDWuvdkkGhJAOBURqClbZgQTPH/ehgzzrDrBCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T05:34:14.816401Z"},"content_sha256":"a90d2f675cdaeaad55251c65e8905228a3b52ded86c28e9c3e6a6a661791fd40","schema_version":"1.0","event_id":"sha256:a90d2f675cdaeaad55251c65e8905228a3b52ded86c28e9c3e6a6a661791fd40"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:5MHS265IXWKHDH6D2NVGJZK2SV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Regression Analysis of Data with Random Effects Covariates from Nonlinear Longitudinal Measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Ana Arribas-Gil, Cristian Meza, Raymond J. Carroll, Rolando De la Cruz","submitted_at":"2013-10-30T14:48:17Z","abstract_excerpt":"Joint models for a wide class of response variables and longitudinal measurements consist on a mixed-effects model to fit longitudinal trajectories whose random effects enter as covariates in a generalized linear model for the primary response. They provide a useful way to asses association between these two kinds of data, which in clinical studies are often collected jointly on a series of individuals and may help understanding, for instance, the mechanisms of recovery of a certain disease or the efficacy of a given therapy. The most common joint model in this framework is based on a linear m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.8176","kind":"arxiv","version":2},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:48:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aL40gITwKDGYxVw+gQuuFqKf34vWJcS/Ce3F0ogL9hbx2obu3tDDgADo9Qoh6J2MdyFbUPuZSvZHdWAYEgHMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T05:34:14.817133Z"},"content_sha256":"abd49b7f0a2f3301164b57b9fbe1e4893985738531887773729850ae3bb50e15","schema_version":"1.0","event_id":"sha256:abd49b7f0a2f3301164b57b9fbe1e4893985738531887773729850ae3bb50e15"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5MHS265IXWKHDH6D2NVGJZK2SV/bundle.json","state_url":"https://pith.science/pith/5MHS265IXWKHDH6D2NVGJZK2SV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5MHS265IXWKHDH6D2NVGJZK2SV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-24T05:34:14Z","links":{"resolver":"https://pith.science/pith/5MHS265IXWKHDH6D2NVGJZK2SV","bundle":"https://pith.science/pith/5MHS265IXWKHDH6D2NVGJZK2SV/bundle.json","state":"https://pith.science/pith/5MHS265IXWKHDH6D2NVGJZK2SV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5MHS265IXWKHDH6D2NVGJZK2SV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:5MHS265IXWKHDH6D2NVGJZK2SV","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":"7e56c4c024eb9848a1adcec3344f36986e950a4b2b80b4c82577a437226c778c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-10-30T14:48:17Z","title_canon_sha256":"1b67d8a10e6d2fc92d4f4c1dc2c0b6e3c7053512e0cf398446e2e93b4465190c"},"schema_version":"1.0","source":{"id":"1310.8176","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.8176","created_at":"2026-05-18T02:48:27Z"},{"alias_kind":"arxiv_version","alias_value":"1310.8176v2","created_at":"2026-05-18T02:48:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.8176","created_at":"2026-05-18T02:48:27Z"},{"alias_kind":"pith_short_12","alias_value":"5MHS265IXWKH","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_16","alias_value":"5MHS265IXWKHDH6D","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_8","alias_value":"5MHS265I","created_at":"2026-05-18T12:27:34Z"}],"graph_snapshots":[{"event_id":"sha256:abd49b7f0a2f3301164b57b9fbe1e4893985738531887773729850ae3bb50e15","target":"graph","created_at":"2026-05-18T02:48:27Z","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"},"paper":{"abstract_excerpt":"Joint models for a wide class of response variables and longitudinal measurements consist on a mixed-effects model to fit longitudinal trajectories whose random effects enter as covariates in a generalized linear model for the primary response. They provide a useful way to asses association between these two kinds of data, which in clinical studies are often collected jointly on a series of individuals and may help understanding, for instance, the mechanisms of recovery of a certain disease or the efficacy of a given therapy. The most common joint model in this framework is based on a linear m","authors_text":"Ana Arribas-Gil, Cristian Meza, Raymond J. Carroll, Rolando De la Cruz","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-10-30T14:48:17Z","title":"Bayesian Regression Analysis of Data with Random Effects Covariates from Nonlinear Longitudinal Measurements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.8176","kind":"arxiv","version":2},"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:a90d2f675cdaeaad55251c65e8905228a3b52ded86c28e9c3e6a6a661791fd40","target":"record","created_at":"2026-05-18T02:48:27Z","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":"7e56c4c024eb9848a1adcec3344f36986e950a4b2b80b4c82577a437226c778c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-10-30T14:48:17Z","title_canon_sha256":"1b67d8a10e6d2fc92d4f4c1dc2c0b6e3c7053512e0cf398446e2e93b4465190c"},"schema_version":"1.0","source":{"id":"1310.8176","kind":"arxiv","version":2}},"canonical_sha256":"eb0f2d7ba8bd94719fc3d36a64e55a9553a5863bca3caf5267f0f5723158940f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb0f2d7ba8bd94719fc3d36a64e55a9553a5863bca3caf5267f0f5723158940f","first_computed_at":"2026-05-18T02:48:27.233349Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:48:27.233349Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R3eaoaBBs+3zTzme5sXhB9lr3aXEsHQO6F/DCVleLziRF3Da4Q1HykuW/FqL57OqGxx5z/tqLjsoKCjdmTmXCA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:48:27.234004Z","signed_message":"canonical_sha256_bytes"},"source_id":"1310.8176","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a90d2f675cdaeaad55251c65e8905228a3b52ded86c28e9c3e6a6a661791fd40","sha256:abd49b7f0a2f3301164b57b9fbe1e4893985738531887773729850ae3bb50e15"],"state_sha256":"f584a2e55105c9fbd8c43f9a7618bf3c7bec99f0387ef5b58e5d7e936b0cf46c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lGIfxzBdGBF2DLXr4gUEu5A8fwvYhF2ZZwmEJ2XGhZ1Uph5wN50HrafAB8mnl6s0QwfAWeUPpU9oxAdVFBV8Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T05:34:14.821211Z","bundle_sha256":"6f56e9e3e8f6b434b4c1313bd92dbe5e27f0d786b3e7e8d6e155228ef339e71d"}}