{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CZHPYOFMISPXRNVBU75RFINYHS","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":"d0e8754c8062c4547d03d21248fb852e77683df032c9c0702513c5e30d16861f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-02-03T11:16:36Z","title_canon_sha256":"b7261d9ebe8c537949affca30eabc02abb76cbc35fc3a94060df8f2884556524"},"schema_version":"1.0","source":{"id":"1702.00971","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.00971","created_at":"2026-05-20T00:00:12Z"},{"alias_kind":"arxiv_version","alias_value":"1702.00971v2","created_at":"2026-05-20T00:00:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.00971","created_at":"2026-05-20T00:00:12Z"},{"alias_kind":"pith_short_12","alias_value":"CZHPYOFMISPX","created_at":"2026-05-20T00:00:12Z"},{"alias_kind":"pith_short_16","alias_value":"CZHPYOFMISPXRNVB","created_at":"2026-05-20T00:00:12Z"},{"alias_kind":"pith_short_8","alias_value":"CZHPYOFM","created_at":"2026-05-20T00:00:12Z"}],"graph_snapshots":[{"event_id":"sha256:5ecb0a61d283f61fad1083a5f58fa0e8db315de4e0e21a980611b9bfb86f7d6a","target":"graph","created_at":"2026-05-20T00:00:12Z","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/1702.00971/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present and compare multiple imputation methods for multilevel continuous and binary data where variables are systematically and sporadically missing.\n  The methods are compared from a theoretical point of view and through an extensive simulation study motivated by a real dataset comprising multiple studies. Simulations are reproducible. The comparisons show why these multiple imputation methods are the most appropriate to handle missing values in a multilevel setting and why their relative performances can vary according to the missing data pattern, the multilevel structure and the type of","authors_text":"Ian R. White, James Carpenter, Matteo Quartagno, Matthieu Resche-Rigon, Shahab Jolani, Stef van Buuren, Thomas P. A. Debray, Vincent Audigier","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-02-03T11:16:36Z","title":"Multiple imputation for multilevel data with continuous and binary variables"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.00971","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:c9e8f20de8586b86c2bd08dd90584126ae1755ebe1508e6303548c0b35438214","target":"record","created_at":"2026-05-20T00:00:12Z","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":"d0e8754c8062c4547d03d21248fb852e77683df032c9c0702513c5e30d16861f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-02-03T11:16:36Z","title_canon_sha256":"b7261d9ebe8c537949affca30eabc02abb76cbc35fc3a94060df8f2884556524"},"schema_version":"1.0","source":{"id":"1702.00971","kind":"arxiv","version":2}},"canonical_sha256":"164efc38ac449f78b6a1a7fb12a1b83c9202a1446fd3e6e39c5ba1c29e1106c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"164efc38ac449f78b6a1a7fb12a1b83c9202a1446fd3e6e39c5ba1c29e1106c2","first_computed_at":"2026-05-20T00:00:12.788435Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:00:12.788435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3vurhCv8Jn7W4tYAZHu3WmVGtJrkdwWT+BUuQ4vN+eFy4g8VvvePwmiSMhEwuDVAU0XH1EOtCWurDzJwrlpSAQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:00:12.791467Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.00971","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9e8f20de8586b86c2bd08dd90584126ae1755ebe1508e6303548c0b35438214","sha256:5ecb0a61d283f61fad1083a5f58fa0e8db315de4e0e21a980611b9bfb86f7d6a"],"state_sha256":"c11b092fdd387f63729ce6e7f7d1b76ff9a664b32f2694a04c775a509a4ba33d"}