{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:G3E5Z3KW6FYUZSYA4NFJZIJYC2","short_pith_number":"pith:G3E5Z3KW","canonical_record":{"source":{"id":"1404.6386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-04-25T10:54:32Z","cross_cats_sorted":[],"title_canon_sha256":"119d9e61b33ef47f01e9ee1e5e4154a2bf8ab024df5b82562af44818ee4dcf7e","abstract_canon_sha256":"346b82f2fc77420c5c22d2a1eab580bd7b51479fbc13ccb5f0048dc3eb702849"},"schema_version":"1.0"},"canonical_sha256":"36c9dced56f1714ccb00e34a9ca13816a2c40b10c4583c8e6833de286b2e0db9","source":{"kind":"arxiv","id":"1404.6386","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.6386","created_at":"2026-05-18T02:53:16Z"},{"alias_kind":"arxiv_version","alias_value":"1404.6386v1","created_at":"2026-05-18T02:53:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.6386","created_at":"2026-05-18T02:53:16Z"},{"alias_kind":"pith_short_12","alias_value":"G3E5Z3KW6FYU","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"G3E5Z3KW6FYUZSYA","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"G3E5Z3KW","created_at":"2026-05-18T12:28:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:G3E5Z3KW6FYUZSYA4NFJZIJYC2","target":"record","payload":{"canonical_record":{"source":{"id":"1404.6386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-04-25T10:54:32Z","cross_cats_sorted":[],"title_canon_sha256":"119d9e61b33ef47f01e9ee1e5e4154a2bf8ab024df5b82562af44818ee4dcf7e","abstract_canon_sha256":"346b82f2fc77420c5c22d2a1eab580bd7b51479fbc13ccb5f0048dc3eb702849"},"schema_version":"1.0"},"canonical_sha256":"36c9dced56f1714ccb00e34a9ca13816a2c40b10c4583c8e6833de286b2e0db9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:53:16.649919Z","signature_b64":"TVeljzy+06q5l6n1uQhg+a6bh0QNDnf4wmwD+jmH9CSo6JVyY8OHzUc18otqO5UDprLdFj8N2+Qinq3SgpHVAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"36c9dced56f1714ccb00e34a9ca13816a2c40b10c4583c8e6833de286b2e0db9","last_reissued_at":"2026-05-18T02:53:16.649326Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:53:16.649326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1404.6386","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:53:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uyvWFy1cUWMeysyn3sut/djzsdNAhVLmI9sXo9gDsbZZVbVSa0nN9xqMjQZpH5tBsSz0RWdzm2p7NNW38xe5Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T21:39:29.511146Z"},"content_sha256":"ae66899e1fce84bbdd9b70e14c2e7860e6e3a7f80bff1d1aee1fc407d78b5740","schema_version":"1.0","event_id":"sha256:ae66899e1fce84bbdd9b70e14c2e7860e6e3a7f80bff1d1aee1fc407d78b5740"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:G3E5Z3KW6FYUZSYA4NFJZIJYC2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Handling non-ignorable dropouts in longitudinal data: A conditional model based on a latent Markov heterogeneity structure","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Antonello Maruotti","submitted_at":"2014-04-25T10:54:32Z","abstract_excerpt":"We illustrate a class of conditional models for the analysis of longitudinal data suffering attrition in random effects models framework, where the subject-specific random effects are assumed to be discrete and to follow a time-dependent latent process. The latent process accounts for unobserved heterogeneity and correlation between individuals in a dynamic fashion, and for dependence between the observed process and the missing data mechanism. Of particular interest is the case where the missing mechanism is non-ignorable. To deal with the topic we introduce a conditional to dropout model. A "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.6386","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T02:53:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IlsYmteUk3qA8NPU76zNG41QxkNkX8KBkMToHV3Jla7SGFC3xZ33ibBnuz0oaWttyL57y82bSDShIubNToppBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T21:39:29.511837Z"},"content_sha256":"b62bd318e3c1dcd41556a6768fd9057083e670d6bcea5651d627ad73af9b23a4","schema_version":"1.0","event_id":"sha256:b62bd318e3c1dcd41556a6768fd9057083e670d6bcea5651d627ad73af9b23a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G3E5Z3KW6FYUZSYA4NFJZIJYC2/bundle.json","state_url":"https://pith.science/pith/G3E5Z3KW6FYUZSYA4NFJZIJYC2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G3E5Z3KW6FYUZSYA4NFJZIJYC2/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":"2026-06-07T21:39:29Z","links":{"resolver":"https://pith.science/pith/G3E5Z3KW6FYUZSYA4NFJZIJYC2","bundle":"https://pith.science/pith/G3E5Z3KW6FYUZSYA4NFJZIJYC2/bundle.json","state":"https://pith.science/pith/G3E5Z3KW6FYUZSYA4NFJZIJYC2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G3E5Z3KW6FYUZSYA4NFJZIJYC2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:G3E5Z3KW6FYUZSYA4NFJZIJYC2","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":"346b82f2fc77420c5c22d2a1eab580bd7b51479fbc13ccb5f0048dc3eb702849","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-04-25T10:54:32Z","title_canon_sha256":"119d9e61b33ef47f01e9ee1e5e4154a2bf8ab024df5b82562af44818ee4dcf7e"},"schema_version":"1.0","source":{"id":"1404.6386","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.6386","created_at":"2026-05-18T02:53:16Z"},{"alias_kind":"arxiv_version","alias_value":"1404.6386v1","created_at":"2026-05-18T02:53:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.6386","created_at":"2026-05-18T02:53:16Z"},{"alias_kind":"pith_short_12","alias_value":"G3E5Z3KW6FYU","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"G3E5Z3KW6FYUZSYA","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"G3E5Z3KW","created_at":"2026-05-18T12:28:28Z"}],"graph_snapshots":[{"event_id":"sha256:b62bd318e3c1dcd41556a6768fd9057083e670d6bcea5651d627ad73af9b23a4","target":"graph","created_at":"2026-05-18T02:53:16Z","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":"We illustrate a class of conditional models for the analysis of longitudinal data suffering attrition in random effects models framework, where the subject-specific random effects are assumed to be discrete and to follow a time-dependent latent process. The latent process accounts for unobserved heterogeneity and correlation between individuals in a dynamic fashion, and for dependence between the observed process and the missing data mechanism. Of particular interest is the case where the missing mechanism is non-ignorable. To deal with the topic we introduce a conditional to dropout model. A ","authors_text":"Antonello Maruotti","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-04-25T10:54:32Z","title":"Handling non-ignorable dropouts in longitudinal data: A conditional model based on a latent Markov heterogeneity structure"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.6386","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:ae66899e1fce84bbdd9b70e14c2e7860e6e3a7f80bff1d1aee1fc407d78b5740","target":"record","created_at":"2026-05-18T02:53:16Z","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":"346b82f2fc77420c5c22d2a1eab580bd7b51479fbc13ccb5f0048dc3eb702849","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-04-25T10:54:32Z","title_canon_sha256":"119d9e61b33ef47f01e9ee1e5e4154a2bf8ab024df5b82562af44818ee4dcf7e"},"schema_version":"1.0","source":{"id":"1404.6386","kind":"arxiv","version":1}},"canonical_sha256":"36c9dced56f1714ccb00e34a9ca13816a2c40b10c4583c8e6833de286b2e0db9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"36c9dced56f1714ccb00e34a9ca13816a2c40b10c4583c8e6833de286b2e0db9","first_computed_at":"2026-05-18T02:53:16.649326Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:53:16.649326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TVeljzy+06q5l6n1uQhg+a6bh0QNDnf4wmwD+jmH9CSo6JVyY8OHzUc18otqO5UDprLdFj8N2+Qinq3SgpHVAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:53:16.649919Z","signed_message":"canonical_sha256_bytes"},"source_id":"1404.6386","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae66899e1fce84bbdd9b70e14c2e7860e6e3a7f80bff1d1aee1fc407d78b5740","sha256:b62bd318e3c1dcd41556a6768fd9057083e670d6bcea5651d627ad73af9b23a4"],"state_sha256":"48ba117cfddeeb2fed907c9acf338f4250e03bf16571afe079f0b24d255ed647"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5YWyyZrRrev4j1jnU7QqgmBaa6k2Q/jeh1c9ar0X4fjSru4iHbFCYXIN2+Yh0L933voxJqa7pb5ia+Ky/ZeAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T21:39:29.515447Z","bundle_sha256":"c553f5463e39b44533d319f64305bed05381073a2aa1ab303ef5d087a7d0e05b"}}