{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:KTYBUBGLFQOLFSTI3REQNFFAUN","short_pith_number":"pith:KTYBUBGL","schema_version":"1.0","canonical_sha256":"54f01a04cb2c1cb2ca68dc490694a0a3623b1456f528d3a89f110b3dec95b4cc","source":{"kind":"arxiv","id":"1305.5695","version":1},"attestation_state":"computed","paper":{"title":"Bayesian semiparametric analysis for two-phase studies of gene-environment interaction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Bhramar Mukherjee, Jaeil Ahn, Malay Ghosh, Stephen B. Gruber","submitted_at":"2013-05-24T11:45:43Z","abstract_excerpt":"The two-phase sampling design is a cost-efficient way of collecting expensive covariate information on a judiciously selected subsample. It is natural to apply such a strategy for collecting genetic data in a subsample enriched for exposure to environmental factors for gene-environment interaction (G x E) analysis. In this paper, we consider two-phase studies of G x E interaction where phase I data are available on exposure, covariates and disease status. Stratified sampling is done to prioritize individuals for genotyping at phase II conditional on disease and exposure. We consider a Bayesian"},"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":"1305.5695","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2013-05-24T11:45:43Z","cross_cats_sorted":[],"title_canon_sha256":"62792f6fcdbcb5fb4f45c4d1622770a5916c9bd5069aee326f1958143414e963","abstract_canon_sha256":"622f5351d0dfd81beafce9e4cbd833d69e3291f0617d4f819df8070f327e1ba6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:25:03.486781Z","signature_b64":"iPqnZAF7eg2HhgkOOONzbdgBdNFTr3xcKTuibjwrkJzKsNR8EbYzr4scQpyVig8slF/Nq8lTRZQafJRfBn1CAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54f01a04cb2c1cb2ca68dc490694a0a3623b1456f528d3a89f110b3dec95b4cc","last_reissued_at":"2026-05-18T03:25:03.486360Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:25:03.486360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian semiparametric analysis for two-phase studies of gene-environment interaction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Bhramar Mukherjee, Jaeil Ahn, Malay Ghosh, Stephen B. Gruber","submitted_at":"2013-05-24T11:45:43Z","abstract_excerpt":"The two-phase sampling design is a cost-efficient way of collecting expensive covariate information on a judiciously selected subsample. It is natural to apply such a strategy for collecting genetic data in a subsample enriched for exposure to environmental factors for gene-environment interaction (G x E) analysis. In this paper, we consider two-phase studies of G x E interaction where phase I data are available on exposure, covariates and disease status. Stratified sampling is done to prioritize individuals for genotyping at phase II conditional on disease and exposure. We consider a Bayesian"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.5695","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":"1305.5695","created_at":"2026-05-18T03:25:03.486420+00:00"},{"alias_kind":"arxiv_version","alias_value":"1305.5695v1","created_at":"2026-05-18T03:25:03.486420+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.5695","created_at":"2026-05-18T03:25:03.486420+00:00"},{"alias_kind":"pith_short_12","alias_value":"KTYBUBGLFQOL","created_at":"2026-05-18T12:27:51.066281+00:00"},{"alias_kind":"pith_short_16","alias_value":"KTYBUBGLFQOLFSTI","created_at":"2026-05-18T12:27:51.066281+00:00"},{"alias_kind":"pith_short_8","alias_value":"KTYBUBGL","created_at":"2026-05-18T12:27:51.066281+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/KTYBUBGLFQOLFSTI3REQNFFAUN","json":"https://pith.science/pith/KTYBUBGLFQOLFSTI3REQNFFAUN.json","graph_json":"https://pith.science/api/pith-number/KTYBUBGLFQOLFSTI3REQNFFAUN/graph.json","events_json":"https://pith.science/api/pith-number/KTYBUBGLFQOLFSTI3REQNFFAUN/events.json","paper":"https://pith.science/paper/KTYBUBGL"},"agent_actions":{"view_html":"https://pith.science/pith/KTYBUBGLFQOLFSTI3REQNFFAUN","download_json":"https://pith.science/pith/KTYBUBGLFQOLFSTI3REQNFFAUN.json","view_paper":"https://pith.science/paper/KTYBUBGL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1305.5695&json=true","fetch_graph":"https://pith.science/api/pith-number/KTYBUBGLFQOLFSTI3REQNFFAUN/graph.json","fetch_events":"https://pith.science/api/pith-number/KTYBUBGLFQOLFSTI3REQNFFAUN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KTYBUBGLFQOLFSTI3REQNFFAUN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KTYBUBGLFQOLFSTI3REQNFFAUN/action/storage_attestation","attest_author":"https://pith.science/pith/KTYBUBGLFQOLFSTI3REQNFFAUN/action/author_attestation","sign_citation":"https://pith.science/pith/KTYBUBGLFQOLFSTI3REQNFFAUN/action/citation_signature","submit_replication":"https://pith.science/pith/KTYBUBGLFQOLFSTI3REQNFFAUN/action/replication_record"}},"created_at":"2026-05-18T03:25:03.486420+00:00","updated_at":"2026-05-18T03:25:03.486420+00:00"}