{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:QSYJX6FIHHT6NXB73QUMB3P3X5","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":"23eefdf42639b7cfb29cd8c9cc784731b44b8d1b26a1817aeb807cdcf4544373","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-01-13T07:07:41Z","title_canon_sha256":"8df68cc2c74ed46c132a2d5c106e124f7ce1668dbbba055c7834935ee769b4b1"},"schema_version":"1.0","source":{"id":"1401.2728","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.2728","created_at":"2026-05-18T03:02:32Z"},{"alias_kind":"arxiv_version","alias_value":"1401.2728v1","created_at":"2026-05-18T03:02:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.2728","created_at":"2026-05-18T03:02:32Z"},{"alias_kind":"pith_short_12","alias_value":"QSYJX6FIHHT6","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_16","alias_value":"QSYJX6FIHHT6NXB7","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_8","alias_value":"QSYJX6FI","created_at":"2026-05-18T12:28:46Z"}],"graph_snapshots":[{"event_id":"sha256:85712f2a0be73ade5197fec8d004e29bf19019efaec7f35078a5eabcfc9f809e","target":"graph","created_at":"2026-05-18T03:02:32Z","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":"Multivariate data that combine binary, categorical, count and continuous outcomes are common in the social and health sciences. We propose a semiparametric Bayesian latent variable model for multivariate data of arbitrary type that does not require specification of conditional distributions. Drawing on the extended rank likelihood method by Hoff [Ann. Appl. Stat. 1 (2007) 265-283], we develop a semiparametric approach for latent variable modeling with mixed outcomes and propose associated Markov chain Monte Carlo estimation methods. Motivated by cognitive testing data, we focus on bifactor mod","authors_text":"Elena A. Erosheva, Jonathan Gruhl, Paul K. Crane","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-01-13T07:07:41Z","title":"A semiparametric approach to mixed outcome latent variable models: Estimating the association between cognition and regional brain volumes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.2728","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":"sha256:8655130b6bb3ee7643a42450cce89e09129961705c5855c6b59ccfc36dd735d4","target":"record","created_at":"2026-05-18T03:02:32Z","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":"23eefdf42639b7cfb29cd8c9cc784731b44b8d1b26a1817aeb807cdcf4544373","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-01-13T07:07:41Z","title_canon_sha256":"8df68cc2c74ed46c132a2d5c106e124f7ce1668dbbba055c7834935ee769b4b1"},"schema_version":"1.0","source":{"id":"1401.2728","kind":"arxiv","version":1}},"canonical_sha256":"84b09bf8a839e7e6dc3fdc28c0edfbbf452c1fc2f29f504f68af0c08d651f9d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84b09bf8a839e7e6dc3fdc28c0edfbbf452c1fc2f29f504f68af0c08d651f9d9","first_computed_at":"2026-05-18T03:02:32.341041Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:02:32.341041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qCNtldIaQHLRKtU2mtr/8ABIOGMXRkk221FUbnoA5dwaT8+//V3auqd3briz0U95joB8lkbH2C/HAony3XmBCA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:02:32.341780Z","signed_message":"canonical_sha256_bytes"},"source_id":"1401.2728","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8655130b6bb3ee7643a42450cce89e09129961705c5855c6b59ccfc36dd735d4","sha256:85712f2a0be73ade5197fec8d004e29bf19019efaec7f35078a5eabcfc9f809e"],"state_sha256":"cb931f4bf98de304d79a1d36b298ad5afc90dc428e3e756c339706aa400ecec0"}