{"id":"W3214826453","doi":"10.1111/biom.13608","title":"Variable Selection in Regression-Based Estimation of Dynamic Treatment Regimes","year":2021,"lang":"en","type":"article","venue":"Biometrics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Estimation; Regression; Statistics; Selection (genetic algorithm); Feature selection; Regression analysis; Econometrics; Variable (mathematics); Computer science; Mathematics; Artificial intelligence; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02306275,0.001087393,0.002364682,0.002344223,0.0005590703,0.001175639,0.001982422,0.001347155,0.001882302],"category_scores_gemma":[0.07244237,0.001097688,0.001628196,0.002535166,0.00156299,0.00131355,0.001224327,0.002377425,0.0004172535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062873,"about_ca_system_score_gemma":0.001786973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007863099,"about_ca_topic_score_gemma":0.004935334,"domain_scores_codex":[0.9782668,0.01887414,0.0004382523,0.001356157,0.0007334261,0.0003311972],"domain_scores_gemma":[0.9309914,0.06348011,0.002387816,0.001646388,0.001196381,0.0002979612],"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":[0.0003516094,0.0001252363,0.01081755,0.0002531669,0.0007007783,0.0001175142,0.0001543032,0.7927713,0.0008348379,0.04218397,0.001470617,0.1502191],"study_design_scores_gemma":[0.00004467526,0.00004981329,0.0007698055,0.00002145541,0.00002625965,0.00001508257,0.00001217081,0.9801168,0.0002676715,0.01819309,0.0004683691,0.00001485735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01017759,0.000288461,0.9888164,0.0001921427,0.00002183943,0.00005252184,0.00006136738,0.000202525,0.0001870681],"genre_scores_gemma":[0.3996717,0.0008156368,0.595817,0.0002871852,0.000152313,0.0007353214,0.0008468519,0.0002070135,0.00146696],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02306275,"threshold_uncertainty_score":0.1219689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0786703818476228,"score_gpt":0.3994401964333117,"score_spread":0.3207698145856889,"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."}}