{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:OXQ6GWDKIV5YUNPABNZLNGVB4P","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":"e985366d1eac2aee39ed0e89d0d1a6ff94637e2e8c0aceeb5f73bc0ea4df07fa","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-10-23T08:13:13Z","title_canon_sha256":"d3c90f838cd4c1b878b3bce194cd0e2d8c4dcfbd4573f9b3c096f0dd8abba60a"},"schema_version":"1.0","source":{"id":"1510.06852","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.06852","created_at":"2026-05-18T01:13:04Z"},{"alias_kind":"arxiv_version","alias_value":"1510.06852v2","created_at":"2026-05-18T01:13:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.06852","created_at":"2026-05-18T01:13:04Z"},{"alias_kind":"pith_short_12","alias_value":"OXQ6GWDKIV5Y","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_16","alias_value":"OXQ6GWDKIV5YUNPA","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_8","alias_value":"OXQ6GWDK","created_at":"2026-05-18T12:29:34Z"}],"graph_snapshots":[{"event_id":"sha256:d92081146ebe3d06ba542dde9d7de1b1e82abacc169a894f40ccae8854470df8","target":"graph","created_at":"2026-05-18T01:13:04Z","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":"The method of generalized estimating equations (GEE) is popular in the biostatistics literature for analyzing longitudinal binary and count data. It assumes a generalized linear model (GLM) for the outcome variable, and a working correlation among repeated measurements. In this paper, we introduce a viable competitor: the weighted scores method for GLM margins. We weight the univariate score equations using a working discretized multivariate normal model that is a proper multivariate model. Since the weighted scores method is a parametric method based on likelihood, we propose composite likeli","authors_text":"Aristidis K. Nikoloulopoulos","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-10-23T08:13:13Z","title":"Correlation structure and variable selection in generalized estimating equations via composite likelihood information criteria"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.06852","kind":"arxiv","version":2},"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:ca26b9b006032eda7aa28823064eda64c04bd9106777d79aef04c3390ca54152","target":"record","created_at":"2026-05-18T01:13:04Z","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":"e985366d1eac2aee39ed0e89d0d1a6ff94637e2e8c0aceeb5f73bc0ea4df07fa","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-10-23T08:13:13Z","title_canon_sha256":"d3c90f838cd4c1b878b3bce194cd0e2d8c4dcfbd4573f9b3c096f0dd8abba60a"},"schema_version":"1.0","source":{"id":"1510.06852","kind":"arxiv","version":2}},"canonical_sha256":"75e1e3586a457b8a35e00b72b69aa1e3ccb554c6d7de112a2e59e106c78a727f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75e1e3586a457b8a35e00b72b69aa1e3ccb554c6d7de112a2e59e106c78a727f","first_computed_at":"2026-05-18T01:13:04.893753Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:13:04.893753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g9B7opFdwWI4eJ8BzBSd/wfg8bYb5nWQMWsSZrmk/lJsY1HX91pj1yoro8R3jwIwZ5UXTJ0OD2tRp3H3tF5RDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:13:04.894260Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.06852","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca26b9b006032eda7aa28823064eda64c04bd9106777d79aef04c3390ca54152","sha256:d92081146ebe3d06ba542dde9d7de1b1e82abacc169a894f40ccae8854470df8"],"state_sha256":"f8797999eb3b851d48305e15c1147da767649110f2271b0af7768179105a2e0f"}