{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:7SQUWQJQDWSUSCA4RJIUASZBDZ","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":"cd0aa60c61d39225efa81671552baa788328c73112cf9891162e4df298970327","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2012-05-28T07:51:50Z","title_canon_sha256":"1aeda8862faf46af9db22e2effb07a717686d28d798324203268890b06001dd6"},"schema_version":"1.0","source":{"id":"1205.6043","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1205.6043","created_at":"2026-05-18T03:54:48Z"},{"alias_kind":"arxiv_version","alias_value":"1205.6043v1","created_at":"2026-05-18T03:54:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1205.6043","created_at":"2026-05-18T03:54:48Z"},{"alias_kind":"pith_short_12","alias_value":"7SQUWQJQDWSU","created_at":"2026-05-18T12:26:58Z"},{"alias_kind":"pith_short_16","alias_value":"7SQUWQJQDWSUSCA4","created_at":"2026-05-18T12:26:58Z"},{"alias_kind":"pith_short_8","alias_value":"7SQUWQJQ","created_at":"2026-05-18T12:26:58Z"}],"graph_snapshots":[{"event_id":"sha256:29d9244785fd65bc75b1aec71b022704e3968ef3a8e0bba35f3b7984ca5507de","target":"graph","created_at":"2026-05-18T03:54:48Z","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":"Sequential monitoring in clinical trials is often employed to allow for early stopping and other interim decisions, while maintaining the type I error rate. However, sequential monitoring is typically described only in the context of a population model. We describe a computational method to implement sequential monitoring in a randomization-based context. In particular, we discuss a new technique for the computation of approximate conditional tests following restricted randomization procedures and then apply this technique to approximate the joint distribution of sequentially computed conditio","authors_text":"Victoria Plamadeala, William F. Rosenberger","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2012-05-28T07:51:50Z","title":"Sequential monitoring with conditional randomization tests"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1205.6043","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":"sha256:72173613aaef8260f9f9eecfbd859f2f9502f0382c05b196aaad2b8990bc30ac","target":"record","created_at":"2026-05-18T03:54:48Z","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":"cd0aa60c61d39225efa81671552baa788328c73112cf9891162e4df298970327","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2012-05-28T07:51:50Z","title_canon_sha256":"1aeda8862faf46af9db22e2effb07a717686d28d798324203268890b06001dd6"},"schema_version":"1.0","source":{"id":"1205.6043","kind":"arxiv","version":1}},"canonical_sha256":"fca14b41301da549081c8a51404b211e40832017c8192d92246feffe6b5a37ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fca14b41301da549081c8a51404b211e40832017c8192d92246feffe6b5a37ce","first_computed_at":"2026-05-18T03:54:48.479417Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:54:48.479417Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6WE50BrotohuzrBH38sw9z6VNsfVz1YZBEjDMXLku3+g4niZ2aU9qeN4dL4i3PlVv0dfBfGQjXbDZDyCqAFLCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:54:48.480359Z","signed_message":"canonical_sha256_bytes"},"source_id":"1205.6043","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72173613aaef8260f9f9eecfbd859f2f9502f0382c05b196aaad2b8990bc30ac","sha256:29d9244785fd65bc75b1aec71b022704e3968ef3a8e0bba35f3b7984ca5507de"],"state_sha256":"c7896526fd4d177104ea6f742730b7143cebb454731d06256bfa11f89075eca8"}