{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:CCTVTQHXJ5JQBFASUG4J2YCB6A","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":"3cc4e80c3601d4431274a5dd230767501ff49ba442a3a896d23b0587dac3be21","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-03-31T21:14:29Z","title_canon_sha256":"3bbd1e2a72432a33d8435b8590caf7ccae3023fde22da5bd73c1e2fe18740704"},"schema_version":"1.0","source":{"id":"1404.0042","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.0042","created_at":"2026-05-18T02:55:05Z"},{"alias_kind":"arxiv_version","alias_value":"1404.0042v1","created_at":"2026-05-18T02:55:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.0042","created_at":"2026-05-18T02:55:05Z"},{"alias_kind":"pith_short_12","alias_value":"CCTVTQHXJ5JQ","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"CCTVTQHXJ5JQBFAS","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"CCTVTQHX","created_at":"2026-05-18T12:28:22Z"}],"graph_snapshots":[{"event_id":"sha256:8f76119c577e6f68d524c47fccbfb8570913dc2a6fd24d103eb620a8c6f3aa84","target":"graph","created_at":"2026-05-18T02:55:05Z","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":"In cohort studies binary outcomes are very often analyzed by logistic regression. However, it is well-known that when the goal is to estimate a risk ratio, the logistic regression is inappropriate if the outcome is common. In these cases, a log-binomial regression model is preferable. On the other hand, the estimation of the regression coefficients of the log-binomial model is difficult due to the constraints that must be imposed on these coefficients. Bayesian methods allow a straightforward approach for log-binomial regression models, produce smaller mean squared errors and the posterior inf","authors_text":"Diego Salmer\\'on, Juan Antonio Cano","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-03-31T21:14:29Z","title":"Monte Carlo error in the Bayesian estimation of risk ratios using log-binomial regression models: an efficient MCMC method"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.0042","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":"sha256:1f4e63543964bed5cf3f97dfbfa0bb7ad296c24646ebb9ec50f19e9d23e3f499","target":"record","created_at":"2026-05-18T02:55:05Z","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":"3cc4e80c3601d4431274a5dd230767501ff49ba442a3a896d23b0587dac3be21","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-03-31T21:14:29Z","title_canon_sha256":"3bbd1e2a72432a33d8435b8590caf7ccae3023fde22da5bd73c1e2fe18740704"},"schema_version":"1.0","source":{"id":"1404.0042","kind":"arxiv","version":1}},"canonical_sha256":"10a759c0f74f53009412a1b89d6041f01f8293b26c94b46325daeb381cb08bd4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10a759c0f74f53009412a1b89d6041f01f8293b26c94b46325daeb381cb08bd4","first_computed_at":"2026-05-18T02:55:05.303406Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:55:05.303406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k0HXIpNL0wlCXE56A8nwAwpewzLNHLKoYYvPjPoHu2iCPuO5YR/GOO2DG6ss2mosYIkOLJSMNbTlI/WC9kBJBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:55:05.303843Z","signed_message":"canonical_sha256_bytes"},"source_id":"1404.0042","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f4e63543964bed5cf3f97dfbfa0bb7ad296c24646ebb9ec50f19e9d23e3f499","sha256:8f76119c577e6f68d524c47fccbfb8570913dc2a6fd24d103eb620a8c6f3aa84"],"state_sha256":"c0d036e4492930ea683d25cd8056ddda2d732e249bb9d7ec5108e435d4a600f1"}