{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:FDDYWDS2KAWWQROXMYIAIMNQID","short_pith_number":"pith:FDDYWDS2","canonical_record":{"source":{"id":"1902.08935","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-02-24T12:26:29Z","cross_cats_sorted":[],"title_canon_sha256":"1361edbbb33591c41dd401052bc353306abc33bcb27dd3a9e3cf6a82109c7e04","abstract_canon_sha256":"f40c1beb8ad6eb49afb472c6c5bbfe9a6472fd9af16b2f8943a9fc6a1efc939e"},"schema_version":"1.0"},"canonical_sha256":"28c78b0e5a502d6845d766100431b040fbd27c4ee9623436a0fa2416372957b2","source":{"kind":"arxiv","id":"1902.08935","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.08935","created_at":"2026-05-17T23:52:49Z"},{"alias_kind":"arxiv_version","alias_value":"1902.08935v1","created_at":"2026-05-17T23:52:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.08935","created_at":"2026-05-17T23:52:49Z"},{"alias_kind":"pith_short_12","alias_value":"FDDYWDS2KAWW","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"FDDYWDS2KAWWQROX","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"FDDYWDS2","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:FDDYWDS2KAWWQROXMYIAIMNQID","target":"record","payload":{"canonical_record":{"source":{"id":"1902.08935","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-02-24T12:26:29Z","cross_cats_sorted":[],"title_canon_sha256":"1361edbbb33591c41dd401052bc353306abc33bcb27dd3a9e3cf6a82109c7e04","abstract_canon_sha256":"f40c1beb8ad6eb49afb472c6c5bbfe9a6472fd9af16b2f8943a9fc6a1efc939e"},"schema_version":"1.0"},"canonical_sha256":"28c78b0e5a502d6845d766100431b040fbd27c4ee9623436a0fa2416372957b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:49.367135Z","signature_b64":"9JR/qz7LYndNRRpkrCQrf+HZNOX+6oKeRu52ArQEuoS86U5wIWbKSFPMsiWr3qgNBfEhpFlbVEtuYkv4vo6kCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28c78b0e5a502d6845d766100431b040fbd27c4ee9623436a0fa2416372957b2","last_reissued_at":"2026-05-17T23:52:49.366490Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:49.366490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.08935","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":"2026-05-17T23:52:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rbAKC92XM8WQVjAXQIvpqCLcbIV6RA3NCb64TDhMbCGF/Q1FQlQXr/tpGMIh+ig+7bewy1mf1yS4hzYw/IaLCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T08:05:17.181777Z"},"content_sha256":"b2e1b3862700cc64b8ed4ba203bc11c2d6684de06df2c11f659f3cda62bdaf90","schema_version":"1.0","event_id":"sha256:b2e1b3862700cc64b8ed4ba203bc11c2d6684de06df2c11f659f3cda62bdaf90"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:FDDYWDS2KAWWQROXMYIAIMNQID","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Non-compliance and missing data in health economic evaluation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Karla DiazOrdaz, Richard Grieve","submitted_at":"2019-02-24T12:26:29Z","abstract_excerpt":"Health economic evaluations face the issues of non-compliance and missing data. Here, non-compliance is defined as non-adherence to a specific treatment, and occurs within randomised controlled trials (RCTs) when participants depart from their random assignment. Missing data arises if, for example, there is loss to follow-up, survey non-response, or the information available from routine data sources is incomplete. Appropriate statistical methods for handling non-compliance and missing data have been developed, but they have rarely been applied in health economics studies. Here, we illustrate "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.08935","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":"2026-05-17T23:52:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+beQZYW0871ZEWXI2gtPhQpCfGYnNKO43oH4pJDegGMNf0LvBqamdoTeldXSXi4F1MAQ7EOq/ecVjjnw6C5fBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T08:05:17.182121Z"},"content_sha256":"a0c73c344262d4e79feb99f3eddb6e4e17a7110505c8049d416a31c60fb5e776","schema_version":"1.0","event_id":"sha256:a0c73c344262d4e79feb99f3eddb6e4e17a7110505c8049d416a31c60fb5e776"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FDDYWDS2KAWWQROXMYIAIMNQID/bundle.json","state_url":"https://pith.science/pith/FDDYWDS2KAWWQROXMYIAIMNQID/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FDDYWDS2KAWWQROXMYIAIMNQID/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":"2026-06-25T08:05:17Z","links":{"resolver":"https://pith.science/pith/FDDYWDS2KAWWQROXMYIAIMNQID","bundle":"https://pith.science/pith/FDDYWDS2KAWWQROXMYIAIMNQID/bundle.json","state":"https://pith.science/pith/FDDYWDS2KAWWQROXMYIAIMNQID/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FDDYWDS2KAWWQROXMYIAIMNQID/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:FDDYWDS2KAWWQROXMYIAIMNQID","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":"f40c1beb8ad6eb49afb472c6c5bbfe9a6472fd9af16b2f8943a9fc6a1efc939e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-02-24T12:26:29Z","title_canon_sha256":"1361edbbb33591c41dd401052bc353306abc33bcb27dd3a9e3cf6a82109c7e04"},"schema_version":"1.0","source":{"id":"1902.08935","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.08935","created_at":"2026-05-17T23:52:49Z"},{"alias_kind":"arxiv_version","alias_value":"1902.08935v1","created_at":"2026-05-17T23:52:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.08935","created_at":"2026-05-17T23:52:49Z"},{"alias_kind":"pith_short_12","alias_value":"FDDYWDS2KAWW","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"FDDYWDS2KAWWQROX","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"FDDYWDS2","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:a0c73c344262d4e79feb99f3eddb6e4e17a7110505c8049d416a31c60fb5e776","target":"graph","created_at":"2026-05-17T23:52:49Z","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":"Health economic evaluations face the issues of non-compliance and missing data. Here, non-compliance is defined as non-adherence to a specific treatment, and occurs within randomised controlled trials (RCTs) when participants depart from their random assignment. Missing data arises if, for example, there is loss to follow-up, survey non-response, or the information available from routine data sources is incomplete. Appropriate statistical methods for handling non-compliance and missing data have been developed, but they have rarely been applied in health economics studies. Here, we illustrate ","authors_text":"Karla DiazOrdaz, Richard Grieve","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-02-24T12:26:29Z","title":"Non-compliance and missing data in health economic evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.08935","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:b2e1b3862700cc64b8ed4ba203bc11c2d6684de06df2c11f659f3cda62bdaf90","target":"record","created_at":"2026-05-17T23:52:49Z","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":"f40c1beb8ad6eb49afb472c6c5bbfe9a6472fd9af16b2f8943a9fc6a1efc939e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-02-24T12:26:29Z","title_canon_sha256":"1361edbbb33591c41dd401052bc353306abc33bcb27dd3a9e3cf6a82109c7e04"},"schema_version":"1.0","source":{"id":"1902.08935","kind":"arxiv","version":1}},"canonical_sha256":"28c78b0e5a502d6845d766100431b040fbd27c4ee9623436a0fa2416372957b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"28c78b0e5a502d6845d766100431b040fbd27c4ee9623436a0fa2416372957b2","first_computed_at":"2026-05-17T23:52:49.366490Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:49.366490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9JR/qz7LYndNRRpkrCQrf+HZNOX+6oKeRu52ArQEuoS86U5wIWbKSFPMsiWr3qgNBfEhpFlbVEtuYkv4vo6kCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:49.367135Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.08935","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2e1b3862700cc64b8ed4ba203bc11c2d6684de06df2c11f659f3cda62bdaf90","sha256:a0c73c344262d4e79feb99f3eddb6e4e17a7110505c8049d416a31c60fb5e776"],"state_sha256":"09651973cafb73acaada2b060cb76c3402d8d5cae8495ae7391564265d246133"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZT/4QWYNpqHzwngVilg3z16kTG7JlIXPhXJZv2fqjC7ZZv8ADgVNVxF4N9Xe8A3GbpfRGoXmGqMtEsTlt/vcDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T08:05:17.184366Z","bundle_sha256":"8e78933714adc012d865a9aa45c0f560ebe029d5a963e533548b4fabe9af2dab"}}