{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KDI4LA5LCZSFRUADMKEKPIZA2K","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":"a25797f3925d5b17d73f422943d88582836d3e327fe5058a5f3fd7e23e445983","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2018-05-04T17:58:51Z","title_canon_sha256":"7a5f7f847cff5379d48fe40918fb4ab5f539fb03af2ac775689d81b91f4a979a"},"schema_version":"1.0","source":{"id":"1805.01886","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.01886","created_at":"2026-05-17T23:57:06Z"},{"alias_kind":"arxiv_version","alias_value":"1805.01886v1","created_at":"2026-05-17T23:57:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01886","created_at":"2026-05-17T23:57:06Z"},{"alias_kind":"pith_short_12","alias_value":"KDI4LA5LCZSF","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KDI4LA5LCZSFRUAD","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KDI4LA5L","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:0b63cdd65954b48eceb03824702eb776f45597abc93a1c17ca03256f5388b1ed","target":"graph","created_at":"2026-05-17T23:57:06Z","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":"Multiple imputation (MI) has become popular for analyses with missing data in medical research. The standard implementation of MI is based on the assumption of data being missing at random (MAR). However, for missing data generated by missing not at random (MNAR) mechanisms, MI performed assuming MAR might not be satisfactory. For an incomplete variable in a given dataset, its corresponding population marginal distribution might also be available in an external data source. We show how this information can be readily utilised in the imputation model to calibrate inference to the population, by","authors_text":"Angela M Wood, Irene Petersen, James R Carpenter, Tim P Morris, Tra My Pham","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2018-05-04T17:58:51Z","title":"Population-calibrated multiple imputation for a binary/categorical covariate in categorical regression models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01886","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":"sha256:0601c5936f63beb4c8e7bfd65bc799362da6944df6e7ee776697a6337efc93f1","target":"record","created_at":"2026-05-17T23:57:06Z","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":"a25797f3925d5b17d73f422943d88582836d3e327fe5058a5f3fd7e23e445983","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2018-05-04T17:58:51Z","title_canon_sha256":"7a5f7f847cff5379d48fe40918fb4ab5f539fb03af2ac775689d81b91f4a979a"},"schema_version":"1.0","source":{"id":"1805.01886","kind":"arxiv","version":1}},"canonical_sha256":"50d1c583ab166458d0036288a7a320d28951e90f82d2f6ce750607bb8da6b64d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50d1c583ab166458d0036288a7a320d28951e90f82d2f6ce750607bb8da6b64d","first_computed_at":"2026-05-17T23:57:06.190082Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:57:06.190082Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ysdDm5lzc0gVzWHfV532WMyXmdSACtXeoao3yveW07kKmrly7/DSl71fHyekXm4Pq5VpJyeDAYaxqKzXgb56DQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:57:06.190654Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.01886","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0601c5936f63beb4c8e7bfd65bc799362da6944df6e7ee776697a6337efc93f1","sha256:0b63cdd65954b48eceb03824702eb776f45597abc93a1c17ca03256f5388b1ed"],"state_sha256":"262b90742f6917a4a13449ebddfac528f5c531b1073e6e85169d44c65e61edb8"}