{"id":"W2045908763","doi":"10.1007/s10742-014-0117-x","title":"Using instrumental variables to estimate a Cox’s proportional hazards regression subject to additive confounding","year":2014,"lang":"en","type":"article","venue":"Health Services and Outcomes Research Methodology","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"National Cancer Institute; National Center for Advancing Translational Sciences; National Institute of Mental Health; National Institutes of Health","keywords":"Confounding; Proportional hazards model; Instrumental variable; Statistics; Regression analysis; Regression; Econometrics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04435372,0.001361542,0.002015768,0.001874284,0.0006903872,0.002811802,0.003570168,0.002217388,0.006126363],"category_scores_gemma":[0.1253247,0.001354119,0.003695586,0.003087253,0.00134282,0.002590034,0.002706242,0.004887066,0.001051188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055896,"about_ca_system_score_gemma":0.00351258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007486538,"about_ca_topic_score_gemma":0.005507411,"domain_scores_codex":[0.9780673,0.01567679,0.001198093,0.002362506,0.00187922,0.0008160705],"domain_scores_gemma":[0.9308456,0.05699931,0.0029301,0.007422769,0.001601946,0.0002002988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008344658,0.000395278,0.04844646,0.0008930605,0.006274415,0.001415262,0.0009098412,0.1757097,0.001111522,0.5886145,0.01460655,0.160789],"study_design_scores_gemma":[0.0005971986,0.0002674138,0.007803217,0.0002956768,0.001683456,0.0005913904,0.0002606013,0.6194869,0.002237295,0.3464604,0.02018733,0.0001291296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005683733,0.0002966024,0.9920831,0.0006354009,0.0002213645,0.00009602813,0.0002259477,0.0002100149,0.0005478052],"genre_scores_gemma":[0.4254563,0.001302291,0.5487412,0.001372863,0.0007017833,0.002096018,0.001940304,0.0004050191,0.01798439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04435372,"threshold_uncertainty_score":0.2345677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3917987631171452,"score_gpt":0.5536682860750683,"score_spread":0.1618695229579231,"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."}}