{"id":"W3015827596","doi":"10.1093/biostatistics/kxaa012","title":"Two-part joint model for a longitudinal semicontinuous marker and a terminal event with application to metastatic colorectal cancer data","year":2020,"lang":"en","type":"article","venue":"Biostatistics","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Biomarker; Event (particle physics); Colorectal cancer; Proportional hazards model; Outcome (game theory); Oncology; Computer science; Statistics; Cancer; Medicine; Internal medicine; Mathematics; Biology; Physics","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":[0.029962,0.002265295,0.00396817,0.00166384,0.001048939,0.002949148,0.004162924,0.00331941,0.005518431],"category_scores_gemma":[0.03344318,0.001179944,0.005172377,0.002316399,0.002518236,0.002436072,0.002540411,0.004930629,0.001063505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002128362,"about_ca_system_score_gemma":0.002727275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01858109,"about_ca_topic_score_gemma":0.01103013,"domain_scores_codex":[0.9898773,0.006722731,0.0003915204,0.00154867,0.0006889796,0.0007708101],"domain_scores_gemma":[0.948377,0.04176971,0.003542717,0.002669958,0.002623847,0.001016685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002403493,0.0004814978,0.04664236,0.0004685906,0.0014853,0.00252247,0.001055363,0.7986165,0.001616979,0.09963636,0.003831851,0.04123928],"study_design_scores_gemma":[0.000167987,0.000404074,0.006419912,0.00005349709,0.000314758,0.0002453997,0.0001271749,0.9619539,0.0002768729,0.02794031,0.002009814,0.00008634714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2158227,0.003316354,0.7699697,0.003199935,0.0003237131,0.0006519226,0.003587597,0.0006627697,0.002465369],"genre_scores_gemma":[0.8844104,0.001679629,0.08992614,0.0007668359,0.0004108352,0.001444225,0.004719217,0.0001795421,0.01646311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.029962,"threshold_uncertainty_score":0.158456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0662028208738954,"score_gpt":0.3436616069784594,"score_spread":0.277458786104564,"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."}}