{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VL7LEPNFGTNCIVXQ4PIUFKSEGP","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":"9a920c8956775cffbd9778c2cb82a434d003b79b526363f66d978b6929e88d7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2022-10-13T19:47:12Z","title_canon_sha256":"ee8b5152dc4ba0bb4389e129fdeae48922a0f4a74da08bd7b149ae90e9e0ab3c"},"schema_version":"1.0","source":{"id":"2210.07324","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.07324","created_at":"2026-07-05T07:21:09Z"},{"alias_kind":"arxiv_version","alias_value":"2210.07324v3","created_at":"2026-07-05T07:21:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.07324","created_at":"2026-07-05T07:21:09Z"},{"alias_kind":"pith_short_12","alias_value":"VL7LEPNFGTNC","created_at":"2026-07-05T07:21:09Z"},{"alias_kind":"pith_short_16","alias_value":"VL7LEPNFGTNCIVXQ","created_at":"2026-07-05T07:21:09Z"},{"alias_kind":"pith_short_8","alias_value":"VL7LEPNF","created_at":"2026-07-05T07:21:09Z"}],"graph_snapshots":[{"event_id":"sha256:86af02ddc061cf0bc74e9e314ed96fd8ee9420c09fc5159abce08ef49267ea9c","target":"graph","created_at":"2026-07-05T07:21:09Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2210.07324/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cluster-randomized experiments are increasingly used to evaluate interventions in routine practice conditions, and researchers often adopt model-based methods with covariate adjustment in the statistical analyses. However, the validity of model-based covariate adjustment is unclear when the working models are misspecified, leading to ambiguity of estimands and risk of bias. In this article, we first adapt two conventional model-based methods, generalized estimating equations and linear mixed models, with weighted g-computation to achieve robust inference for cluster-average and individual-aver","authors_text":"Bingkai Wang, Chan Park, Dylan S. Small, Fan Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2022-10-13T19:47:12Z","title":"Model-robust and efficient covariate adjustment for cluster-randomized experiments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.07324","kind":"arxiv","version":3},"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:b80274319baf06f6c4bc7a43eae1c11ddd79c986006ab096ca7dd385ef33443e","target":"record","created_at":"2026-07-05T07:21:09Z","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":"9a920c8956775cffbd9778c2cb82a434d003b79b526363f66d978b6929e88d7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2022-10-13T19:47:12Z","title_canon_sha256":"ee8b5152dc4ba0bb4389e129fdeae48922a0f4a74da08bd7b149ae90e9e0ab3c"},"schema_version":"1.0","source":{"id":"2210.07324","kind":"arxiv","version":3}},"canonical_sha256":"aafeb23da534da2456f0e3d142aa4433def00a92b6f10319889b833d7cb7f2cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aafeb23da534da2456f0e3d142aa4433def00a92b6f10319889b833d7cb7f2cb","first_computed_at":"2026-07-05T07:21:09.988454Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:21:09.988454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8iCbPTcEkcd+U3XuV4aSJqRlKhuqgT2DrRb+Wxj2seSsMf6NvlFiqWo1WApQt8FCWj1jsZAc92rjUxH7g+CEBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:21:09.988968Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.07324","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b80274319baf06f6c4bc7a43eae1c11ddd79c986006ab096ca7dd385ef33443e","sha256:86af02ddc061cf0bc74e9e314ed96fd8ee9420c09fc5159abce08ef49267ea9c"],"state_sha256":"7c52203c27b099d2eaef2e0c1a1502143a5702f84f2457e4cf90ca284104186f"}