{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:BHJXZSRRIJCYUM5WR7WTT43BE4","short_pith_number":"pith:BHJXZSRR","schema_version":"1.0","canonical_sha256":"09d37cca3142458a33b68fed39f361273297b582d27a565fc1d994a131064132","source":{"kind":"arxiv","id":"1505.03609","version":1},"attestation_state":"computed","paper":{"title":"A Robust Approach for Identifying Gene-Environment Interactions for Prognosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Guohua Wang, Hao Chai, Qingzhao Zhang, Sanguo Zhang, Shuangge Ma, Yu Jiang","submitted_at":"2015-05-14T03:37:58Z","abstract_excerpt":"For many complex diseases, prognosis is of essential importance. It has been shown that, beyond the main effects of genetic (G) and environmental (E) risk factors, the gene-environment (G$\\times$E) interactions also play a critical role. In practice, the prognosis outcome data can be contaminated, and most of the existing methods are not robust to data contamination. In the literature, it has been shown that even a single contaminated observation can lead to severely biased model estimation. In this study, we describe prognosis using an accelerated failure time (AFT) model. An exponential squa"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1505.03609","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-05-14T03:37:58Z","cross_cats_sorted":[],"title_canon_sha256":"39311aac9b92e7bc1cf9d667039e044ec5afd355e4b419aa149c33d582c1e2de","abstract_canon_sha256":"e8a378c1c884851239e4a4356cab56cf431dbf0c06838d90880416f663aec8f1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:09:53.574635Z","signature_b64":"eCbClckaWawjtKrauhQjvykiyamzGwYNSxD6DSf9dp22TFGmkqLCYHDcWKlYxFHO7ojUzv9OG2W2mIXq+dBJBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09d37cca3142458a33b68fed39f361273297b582d27a565fc1d994a131064132","last_reissued_at":"2026-05-18T02:09:53.573979Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:09:53.573979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Robust Approach for Identifying Gene-Environment Interactions for Prognosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Guohua Wang, Hao Chai, Qingzhao Zhang, Sanguo Zhang, Shuangge Ma, Yu Jiang","submitted_at":"2015-05-14T03:37:58Z","abstract_excerpt":"For many complex diseases, prognosis is of essential importance. It has been shown that, beyond the main effects of genetic (G) and environmental (E) risk factors, the gene-environment (G$\\times$E) interactions also play a critical role. In practice, the prognosis outcome data can be contaminated, and most of the existing methods are not robust to data contamination. In the literature, it has been shown that even a single contaminated observation can lead to severely biased model estimation. In this study, we describe prognosis using an accelerated failure time (AFT) model. An exponential squa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.03609","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1505.03609","created_at":"2026-05-18T02:09:53.574064+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.03609v1","created_at":"2026-05-18T02:09:53.574064+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.03609","created_at":"2026-05-18T02:09:53.574064+00:00"},{"alias_kind":"pith_short_12","alias_value":"BHJXZSRRIJCY","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_16","alias_value":"BHJXZSRRIJCYUM5W","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_8","alias_value":"BHJXZSRR","created_at":"2026-05-18T12:29:14.074870+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4","json":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4.json","graph_json":"https://pith.science/api/pith-number/BHJXZSRRIJCYUM5WR7WTT43BE4/graph.json","events_json":"https://pith.science/api/pith-number/BHJXZSRRIJCYUM5WR7WTT43BE4/events.json","paper":"https://pith.science/paper/BHJXZSRR"},"agent_actions":{"view_html":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4","download_json":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4.json","view_paper":"https://pith.science/paper/BHJXZSRR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.03609&json=true","fetch_graph":"https://pith.science/api/pith-number/BHJXZSRRIJCYUM5WR7WTT43BE4/graph.json","fetch_events":"https://pith.science/api/pith-number/BHJXZSRRIJCYUM5WR7WTT43BE4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4/action/storage_attestation","attest_author":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4/action/author_attestation","sign_citation":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4/action/citation_signature","submit_replication":"https://pith.science/pith/BHJXZSRRIJCYUM5WR7WTT43BE4/action/replication_record"}},"created_at":"2026-05-18T02:09:53.574064+00:00","updated_at":"2026-05-18T02:09:53.574064+00:00"}