{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:7PQU45XFEE62ZEIWJFDPBLZWSH","short_pith_number":"pith:7PQU45XF","schema_version":"1.0","canonical_sha256":"fbe14e76e5213dac91164946f0af3691dfb4ea1094c5dbf4cb827de91d6a47e0","source":{"kind":"arxiv","id":"1105.4667","version":1},"attestation_state":"computed","paper":{"title":"Generalized Likelihood Ratio Statistics and Uncertainty Adjustments in Efficient Adaptive Design of Clinical Trials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME","stat.TH"],"primary_cat":"math.ST","authors_text":"Jay Bartroff, Tze Leung Lai","submitted_at":"2011-05-24T01:58:41Z","abstract_excerpt":"A new approach to adaptive design of clinical trials is proposed in a general multiparameter exponential family setting, based on generalized likelihood ratio statistics and optimal sequential testing theory. These designs are easy to implement, maintain the prescribed Type I error probability, and are asymptotically efficient. Practical issues involved in clinical trials allowing mid-course adaptation and the large literature on this subject are discussed, and comparisons between the proposed and existing designs are presented in extensive simulation studies of their finite-sample performance"},"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":"1105.4667","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2011-05-24T01:58:41Z","cross_cats_sorted":["stat.ME","stat.TH"],"title_canon_sha256":"a65339300ff307a2bfacad478296fc64ff2537412e28d9116a2b1d2a0d120c63","abstract_canon_sha256":"617e3baab158ba969938277356734428512eadca1d0ba5f9220a2ae50a53a501"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:21:21.962866Z","signature_b64":"olZ65WO4DYVYKWJsFYCd99zsRX58zX2PU8wn/vUKHUrMyAr9+O3VZS9QivA2zl8BJwhIcYEmaS6xERLWIQaIAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fbe14e76e5213dac91164946f0af3691dfb4ea1094c5dbf4cb827de91d6a47e0","last_reissued_at":"2026-05-18T04:21:21.962216Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:21:21.962216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generalized Likelihood Ratio Statistics and Uncertainty Adjustments in Efficient Adaptive Design of Clinical Trials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME","stat.TH"],"primary_cat":"math.ST","authors_text":"Jay Bartroff, Tze Leung Lai","submitted_at":"2011-05-24T01:58:41Z","abstract_excerpt":"A new approach to adaptive design of clinical trials is proposed in a general multiparameter exponential family setting, based on generalized likelihood ratio statistics and optimal sequential testing theory. These designs are easy to implement, maintain the prescribed Type I error probability, and are asymptotically efficient. Practical issues involved in clinical trials allowing mid-course adaptation and the large literature on this subject are discussed, and comparisons between the proposed and existing designs are presented in extensive simulation studies of their finite-sample performance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1105.4667","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":"1105.4667","created_at":"2026-05-18T04:21:21.962302+00:00"},{"alias_kind":"arxiv_version","alias_value":"1105.4667v1","created_at":"2026-05-18T04:21:21.962302+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1105.4667","created_at":"2026-05-18T04:21:21.962302+00:00"},{"alias_kind":"pith_short_12","alias_value":"7PQU45XFEE62","created_at":"2026-05-18T12:26:22.705136+00:00"},{"alias_kind":"pith_short_16","alias_value":"7PQU45XFEE62ZEIW","created_at":"2026-05-18T12:26:22.705136+00:00"},{"alias_kind":"pith_short_8","alias_value":"7PQU45XF","created_at":"2026-05-18T12:26:22.705136+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/7PQU45XFEE62ZEIWJFDPBLZWSH","json":"https://pith.science/pith/7PQU45XFEE62ZEIWJFDPBLZWSH.json","graph_json":"https://pith.science/api/pith-number/7PQU45XFEE62ZEIWJFDPBLZWSH/graph.json","events_json":"https://pith.science/api/pith-number/7PQU45XFEE62ZEIWJFDPBLZWSH/events.json","paper":"https://pith.science/paper/7PQU45XF"},"agent_actions":{"view_html":"https://pith.science/pith/7PQU45XFEE62ZEIWJFDPBLZWSH","download_json":"https://pith.science/pith/7PQU45XFEE62ZEIWJFDPBLZWSH.json","view_paper":"https://pith.science/paper/7PQU45XF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1105.4667&json=true","fetch_graph":"https://pith.science/api/pith-number/7PQU45XFEE62ZEIWJFDPBLZWSH/graph.json","fetch_events":"https://pith.science/api/pith-number/7PQU45XFEE62ZEIWJFDPBLZWSH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7PQU45XFEE62ZEIWJFDPBLZWSH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7PQU45XFEE62ZEIWJFDPBLZWSH/action/storage_attestation","attest_author":"https://pith.science/pith/7PQU45XFEE62ZEIWJFDPBLZWSH/action/author_attestation","sign_citation":"https://pith.science/pith/7PQU45XFEE62ZEIWJFDPBLZWSH/action/citation_signature","submit_replication":"https://pith.science/pith/7PQU45XFEE62ZEIWJFDPBLZWSH/action/replication_record"}},"created_at":"2026-05-18T04:21:21.962302+00:00","updated_at":"2026-05-18T04:21:21.962302+00:00"}