{"id":"W2069086045","doi":"10.1002/hec.843","title":"Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":372,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster Children's Hospital; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Covariate; Regression analysis; Ordinary least squares; Regression; Cost-effectiveness analysis; Econometrics; Statistics; Cost effectiveness; Meta-regression; Computer science; Medicine; Mathematics; Meta-analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.04539903,0.0003511494,0.002268655,0.0005530117,0.0005039171,0.0001151856,0.0004271052,0.0002382073,0.00006544202],"category_scores_gemma":[0.003561913,0.000435172,0.0002304723,0.0002623715,0.00007157213,0.0005652331,0.0001040287,0.0001451738,0.00004871676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151718,"about_ca_system_score_gemma":0.0004935967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005372279,"about_ca_topic_score_gemma":0.0003568951,"domain_scores_codex":[0.9927822,0.0009127831,0.004005502,0.001460197,0.00003246118,0.0008068522],"domain_scores_gemma":[0.9900667,0.004827385,0.003111412,0.001443558,0.00009139824,0.0004595323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005860256,0.0005352467,0.04764964,0.006490456,0.002769445,3.691602e-7,0.002245165,0.004222718,0.000006968004,0.8894981,0.02170488,0.02429098],"study_design_scores_gemma":[0.005979431,0.0004078015,0.05842891,0.0001240404,0.0001991537,0.00000810192,0.0006127729,0.3998282,0.00002994915,0.04209654,0.4913398,0.000945316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02607736,0.007454293,0.9421013,0.009965979,0.001794202,0.007431886,0.00479963,0.00006150269,0.0003138458],"genre_scores_gemma":[0.08218184,0.005485699,0.8822046,0.02152329,0.0007143079,0.003926842,0.00322693,0.0002302224,0.0005062678],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8474016,"threshold_uncertainty_score":0.99981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6139149645569404,"score_gpt":0.5587856556115336,"score_spread":0.0551293089454068,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}