{"id":"W1989245390","doi":"10.1002/cjs.10114","title":"Fitting regression models with response‐biased samples","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariate; Statistics; Econometrics; Regression; Parametric statistics; Regression analysis; Missing data; Distribution (mathematics); Mathematics; Value (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04893686,0.0013811,0.00312682,0.001715447,0.0006891503,0.002822077,0.003916764,0.004142613,0.003608121],"category_scores_gemma":[0.2291691,0.001681607,0.002457763,0.002533394,0.002072199,0.003444575,0.002756867,0.003161816,0.0009646721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848011,"about_ca_system_score_gemma":0.001825959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00955669,"about_ca_topic_score_gemma":0.005598368,"domain_scores_codex":[0.9529685,0.03830735,0.001258295,0.004058033,0.002612942,0.0007948665],"domain_scores_gemma":[0.8598843,0.1109497,0.008165292,0.01585733,0.004277332,0.0008659321],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000943951,0.0003572966,0.03580856,0.0007145915,0.001192616,0.0006348878,0.0008601176,0.7278706,0.001364254,0.1263053,0.00491121,0.09903666],"study_design_scores_gemma":[0.0001782653,0.00008898099,0.002522619,0.0001221529,0.0001039995,0.0001188161,0.0001573322,0.8544261,0.0007015368,0.1391385,0.002390539,0.00005114296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07902271,0.0007189166,0.9168492,0.00109116,0.0001025628,0.0001708354,0.0004130769,0.0005865059,0.001045104],"genre_scores_gemma":[0.7311349,0.0005444253,0.2617259,0.0009545026,0.0001627149,0.0005004,0.002012741,0.0002663987,0.00269799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9510632,"threshold_uncertainty_score":0.2588059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2921036376110321,"score_gpt":0.3385530047874309,"score_spread":0.0464493671763988,"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."}}