{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:4HGDGPLTYGRCWIGEJN7CPTD6VZ","short_pith_number":"pith:4HGDGPLT","schema_version":"1.0","canonical_sha256":"e1cc333d73c1a22b20c44b7e27cc7eae4fce051c0cd652e222fbbca71a851847","source":{"kind":"arxiv","id":"1509.07138","version":1},"attestation_state":"computed","paper":{"title":"Exact confidence intervals for the average causal effect on a binary outcome","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.CO"],"primary_cat":"stat.AP","authors_text":"Peng Ding, Xinran Li","submitted_at":"2015-09-23T20:15:35Z","abstract_excerpt":"Based on the physical randomization of completely randomized experiments, Rigdon and Hudgens (2015) propose two approaches to obtaining exact confidence intervals for the average causal effect on a binary outcome. They construct the first confidence interval by combining, with the Bonferroni adjustment, the prediction sets for treatment effects among treatment and control groups, and the second one by inverting a series of randomization tests. With sample size $n$, their second approach requires performing $O(n^4)$ randomization tests. We demonstrate that the physical randomization also justif"},"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":"1509.07138","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-09-23T20:15:35Z","cross_cats_sorted":["stat.CO"],"title_canon_sha256":"0e02ee07689404fe87c3b6f399b786451ce13dafa7b8e71a2228d7ae94dfb935","abstract_canon_sha256":"f8429863ad7e3550be066b320ad96133dcbd437dd69372369b839453e661744d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:32:11.270205Z","signature_b64":"BBZSMj/sENqpdvCOKyS79R12ub0zWM3ffL+bF9Nuw097A2cgjcwAbne+RM618u6y4lwy3aJS2sP7jJuNxmBWBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1cc333d73c1a22b20c44b7e27cc7eae4fce051c0cd652e222fbbca71a851847","last_reissued_at":"2026-05-18T01:32:11.269472Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:32:11.269472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exact confidence intervals for the average causal effect on a binary outcome","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.CO"],"primary_cat":"stat.AP","authors_text":"Peng Ding, Xinran Li","submitted_at":"2015-09-23T20:15:35Z","abstract_excerpt":"Based on the physical randomization of completely randomized experiments, Rigdon and Hudgens (2015) propose two approaches to obtaining exact confidence intervals for the average causal effect on a binary outcome. They construct the first confidence interval by combining, with the Bonferroni adjustment, the prediction sets for treatment effects among treatment and control groups, and the second one by inverting a series of randomization tests. With sample size $n$, their second approach requires performing $O(n^4)$ randomization tests. We demonstrate that the physical randomization also justif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.07138","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":"1509.07138","created_at":"2026-05-18T01:32:11.269590+00:00"},{"alias_kind":"arxiv_version","alias_value":"1509.07138v1","created_at":"2026-05-18T01:32:11.269590+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.07138","created_at":"2026-05-18T01:32:11.269590+00:00"},{"alias_kind":"pith_short_12","alias_value":"4HGDGPLTYGRC","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_16","alias_value":"4HGDGPLTYGRCWIGE","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_8","alias_value":"4HGDGPLT","created_at":"2026-05-18T12:29:05.191682+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/4HGDGPLTYGRCWIGEJN7CPTD6VZ","json":"https://pith.science/pith/4HGDGPLTYGRCWIGEJN7CPTD6VZ.json","graph_json":"https://pith.science/api/pith-number/4HGDGPLTYGRCWIGEJN7CPTD6VZ/graph.json","events_json":"https://pith.science/api/pith-number/4HGDGPLTYGRCWIGEJN7CPTD6VZ/events.json","paper":"https://pith.science/paper/4HGDGPLT"},"agent_actions":{"view_html":"https://pith.science/pith/4HGDGPLTYGRCWIGEJN7CPTD6VZ","download_json":"https://pith.science/pith/4HGDGPLTYGRCWIGEJN7CPTD6VZ.json","view_paper":"https://pith.science/paper/4HGDGPLT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1509.07138&json=true","fetch_graph":"https://pith.science/api/pith-number/4HGDGPLTYGRCWIGEJN7CPTD6VZ/graph.json","fetch_events":"https://pith.science/api/pith-number/4HGDGPLTYGRCWIGEJN7CPTD6VZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4HGDGPLTYGRCWIGEJN7CPTD6VZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4HGDGPLTYGRCWIGEJN7CPTD6VZ/action/storage_attestation","attest_author":"https://pith.science/pith/4HGDGPLTYGRCWIGEJN7CPTD6VZ/action/author_attestation","sign_citation":"https://pith.science/pith/4HGDGPLTYGRCWIGEJN7CPTD6VZ/action/citation_signature","submit_replication":"https://pith.science/pith/4HGDGPLTYGRCWIGEJN7CPTD6VZ/action/replication_record"}},"created_at":"2026-05-18T01:32:11.269590+00:00","updated_at":"2026-05-18T01:32:11.269590+00:00"}