{"id":"W4416182859","doi":"10.1002/cjs.70025","title":"Receiver operating characteristic curve analysis with non‐ignorable missing disease status","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Receiver operating characteristic; Identifiability; Estimator; Missing data; Confidence interval; Point estimation; Logistic regression; Maximum likelihood","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0470394,0.0009367955,0.002094208,0.004109783,0.0005192779,0.00232889,0.002245311,0.002103742,0.0009991328],"category_scores_gemma":[0.1684377,0.0004506591,0.001662544,0.003557952,0.001707524,0.002256117,0.001709998,0.002156034,0.0003977261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177285,"about_ca_system_score_gemma":0.001929068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002639623,"about_ca_topic_score_gemma":0.0009433194,"domain_scores_codex":[0.9735493,0.02038905,0.0009076869,0.002228498,0.002446519,0.0004790289],"domain_scores_gemma":[0.8368637,0.1337769,0.01099575,0.01143131,0.006154052,0.000778319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001326403,0.0003996971,0.1383642,0.00133585,0.002506141,0.001980435,0.0009409662,0.4507142,0.003702665,0.09167375,0.008545289,0.2985104],"study_design_scores_gemma":[0.00007809558,0.0004427166,0.02093059,0.000192682,0.0003561372,0.001254517,0.0001438746,0.8864628,0.001786412,0.08279653,0.005445987,0.0001097495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04716967,0.003321148,0.9458961,0.001197884,0.00009654171,0.0001272781,0.0005343332,0.0004785688,0.001178405],"genre_scores_gemma":[0.8052205,0.001280161,0.190796,0.0003755933,0.0002575005,0.0002608461,0.0009749627,0.00009757095,0.0007368727],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0470394,"threshold_uncertainty_score":0.2487711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853840166451193,"score_gpt":0.3159132295253869,"score_spread":0.287374827860875,"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."}}