{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4BF6MY5VZFSYVIUOPZD5TRN6OH","short_pith_number":"pith:4BF6MY5V","canonical_record":{"source":{"id":"2302.03435","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-02-07T12:41:28Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"a9489bdb4ba002c8360232044533e969567f3d82e23a038cfd239e7d16ae1f6e","abstract_canon_sha256":"b6785ef00e1701940981d50fa924d8d10f156fcb1b02245cfcdddc3a6fe3da34"},"schema_version":"1.0"},"canonical_sha256":"e04be663b5c9658aa28e7e47d9c5be71cbdaf77ca645bf8ca371183d505efbd2","source":{"kind":"arxiv","id":"2302.03435","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.03435","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"arxiv_version","alias_value":"2302.03435v2","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.03435","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"pith_short_12","alias_value":"4BF6MY5VZFSY","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"pith_short_16","alias_value":"4BF6MY5VZFSYVIUO","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"pith_short_8","alias_value":"4BF6MY5V","created_at":"2026-07-05T08:13:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4BF6MY5VZFSYVIUOPZD5TRN6OH","target":"record","payload":{"canonical_record":{"source":{"id":"2302.03435","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-02-07T12:41:28Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"a9489bdb4ba002c8360232044533e969567f3d82e23a038cfd239e7d16ae1f6e","abstract_canon_sha256":"b6785ef00e1701940981d50fa924d8d10f156fcb1b02245cfcdddc3a6fe3da34"},"schema_version":"1.0"},"canonical_sha256":"e04be663b5c9658aa28e7e47d9c5be71cbdaf77ca645bf8ca371183d505efbd2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:25.076059Z","signature_b64":"jsxj3eOnRQKdT9zVo91RtCp1oop0jwBd5heRK8dOYDk0qAakdvE7uTJVV38t65YxAwAGYKlubm2u7UVQm5C+CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e04be663b5c9658aa28e7e47d9c5be71cbdaf77ca645bf8ca371183d505efbd2","last_reissued_at":"2026-07-05T08:13:25.075603Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:25.075603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.03435","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":"2026-07-05T08:13:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fylEZqrCGEdr25SfrdXPjYKHPEcRT7yErIHhxxkMRiuYXttNghvXPxR4kj41IiL77rZhj6ayyPdOMuhhb0mvDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:36:22.974832Z"},"content_sha256":"b907fde267be8426368e38ebcd1e2c845dc4a119ea3762ed7949a77c6ff61352","schema_version":"1.0","event_id":"sha256:b907fde267be8426368e38ebcd1e2c845dc4a119ea3762ed7949a77c6ff61352"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4BF6MY5VZFSYVIUOPZD5TRN6OH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Logistic regression with missing responses and predictors: a review of existing approaches and a case study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Jacobo de U\\~na-\\'Alvarez, Mar\\'ia del Carmen Iglesias-P\\'erez, Susana Rafaela Martins","submitted_at":"2023-02-07T12:41:28Z","abstract_excerpt":"In this work logistic regression when both the response and the predictor variables may be missing is considered. Several existing approaches are reviewed, including complete case analysis, inverse probability weighting, multiple imputation and maximum likelihood. The methods are compared in a simulation study, which serves to evaluate the bias, the variance and the mean squared error of the estimators for the regression coefficients. In the simulations, the maximum likelihood methodology is the one that presents the best results, followed by multiple imputation with five imputations, which is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.03435","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2302.03435/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T08:13:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OdkswBB+uqJS4Pq2F1zVWN/FJJR21xYqnnUiLgo5GRfMvVo4AqGHV/Pm4t76rbO2basoSdthHVWT9o9F4SzcDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:36:22.975641Z"},"content_sha256":"5b670acbc6cd49f274344a042ea3decef339998f74f6c6cddda5f40359590ed0","schema_version":"1.0","event_id":"sha256:5b670acbc6cd49f274344a042ea3decef339998f74f6c6cddda5f40359590ed0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4BF6MY5VZFSYVIUOPZD5TRN6OH/bundle.json","state_url":"https://pith.science/pith/4BF6MY5VZFSYVIUOPZD5TRN6OH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4BF6MY5VZFSYVIUOPZD5TRN6OH/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":"2026-08-09T18:36:22Z","links":{"resolver":"https://pith.science/pith/4BF6MY5VZFSYVIUOPZD5TRN6OH","bundle":"https://pith.science/pith/4BF6MY5VZFSYVIUOPZD5TRN6OH/bundle.json","state":"https://pith.science/pith/4BF6MY5VZFSYVIUOPZD5TRN6OH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4BF6MY5VZFSYVIUOPZD5TRN6OH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4BF6MY5VZFSYVIUOPZD5TRN6OH","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":"b6785ef00e1701940981d50fa924d8d10f156fcb1b02245cfcdddc3a6fe3da34","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-02-07T12:41:28Z","title_canon_sha256":"a9489bdb4ba002c8360232044533e969567f3d82e23a038cfd239e7d16ae1f6e"},"schema_version":"1.0","source":{"id":"2302.03435","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.03435","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"arxiv_version","alias_value":"2302.03435v2","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.03435","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"pith_short_12","alias_value":"4BF6MY5VZFSY","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"pith_short_16","alias_value":"4BF6MY5VZFSYVIUO","created_at":"2026-07-05T08:13:25Z"},{"alias_kind":"pith_short_8","alias_value":"4BF6MY5V","created_at":"2026-07-05T08:13:25Z"}],"graph_snapshots":[{"event_id":"sha256:5b670acbc6cd49f274344a042ea3decef339998f74f6c6cddda5f40359590ed0","target":"graph","created_at":"2026-07-05T08:13:25Z","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/2302.03435/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work logistic regression when both the response and the predictor variables may be missing is considered. Several existing approaches are reviewed, including complete case analysis, inverse probability weighting, multiple imputation and maximum likelihood. The methods are compared in a simulation study, which serves to evaluate the bias, the variance and the mean squared error of the estimators for the regression coefficients. In the simulations, the maximum likelihood methodology is the one that presents the best results, followed by multiple imputation with five imputations, which is","authors_text":"Jacobo de U\\~na-\\'Alvarez, Mar\\'ia del Carmen Iglesias-P\\'erez, Susana Rafaela Martins","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-02-07T12:41:28Z","title":"Logistic regression with missing responses and predictors: a review of existing approaches and a case study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.03435","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:b907fde267be8426368e38ebcd1e2c845dc4a119ea3762ed7949a77c6ff61352","target":"record","created_at":"2026-07-05T08:13:25Z","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":"b6785ef00e1701940981d50fa924d8d10f156fcb1b02245cfcdddc3a6fe3da34","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-02-07T12:41:28Z","title_canon_sha256":"a9489bdb4ba002c8360232044533e969567f3d82e23a038cfd239e7d16ae1f6e"},"schema_version":"1.0","source":{"id":"2302.03435","kind":"arxiv","version":2}},"canonical_sha256":"e04be663b5c9658aa28e7e47d9c5be71cbdaf77ca645bf8ca371183d505efbd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e04be663b5c9658aa28e7e47d9c5be71cbdaf77ca645bf8ca371183d505efbd2","first_computed_at":"2026-07-05T08:13:25.075603Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:25.075603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jsxj3eOnRQKdT9zVo91RtCp1oop0jwBd5heRK8dOYDk0qAakdvE7uTJVV38t65YxAwAGYKlubm2u7UVQm5C+CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:25.076059Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.03435","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b907fde267be8426368e38ebcd1e2c845dc4a119ea3762ed7949a77c6ff61352","sha256:5b670acbc6cd49f274344a042ea3decef339998f74f6c6cddda5f40359590ed0"],"state_sha256":"009b1a31adc480fe0f94c9f0409c648cc54e2afdcd19ecbcfe9d5e966a1e7168"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bu+QVowo7Win2WsbfsqHkRMdioQWUXdMy12blEuIuzqcmKMbo6OtY0djVe+ncyVLh2LnIa2GhaEXs5WIBVpzBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T18:36:22.982657Z","bundle_sha256":"71b84a7d9232fb30a1618411c6cc36a149427fb306540bcd55428488df8dea89"}}