{"id":"W7117115668","doi":"10.3390/stats9010001","title":"A Proportional Hazards Mixture Cure Model for Subgroup Analysis: Inferential Method and an Application to Colon Cancer Data","year":2025,"lang":"en","type":"article","venue":"Stats","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Levamisole; Cure rate; Colorectal cancer; Proportional hazards model; Cancer; Mixture model; Maximum likelihood","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":[0.09039063,0.001655663,0.003789419,0.004220475,0.001292086,0.001760512,0.00356592,0.002741476,0.003631107],"category_scores_gemma":[0.1779056,0.001067541,0.004927841,0.00354039,0.002627452,0.00274068,0.003037253,0.005118309,0.0005057387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602601,"about_ca_system_score_gemma":0.003633935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00330698,"about_ca_topic_score_gemma":0.00253282,"domain_scores_codex":[0.9348415,0.05862885,0.001024961,0.002454856,0.002503926,0.0005459729],"domain_scores_gemma":[0.8260226,0.1593532,0.003749909,0.007960334,0.002227271,0.0006866529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004199035,0.0007066207,0.02913733,0.001263961,0.004623249,0.001153682,0.002884327,0.3103367,0.002781137,0.2274118,0.007832062,0.4076701],"study_design_scores_gemma":[0.0004920797,0.0005570384,0.002071625,0.00008820967,0.0004015651,0.0002936416,0.0001335106,0.8729958,0.0007580403,0.1193298,0.002794367,0.00008428568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007922962,0.0002387657,0.9902661,0.000420606,0.00005126298,0.0004620835,0.0001588392,0.0003547104,0.0001245056],"genre_scores_gemma":[0.2296187,0.0004622293,0.7631212,0.000468038,0.0001939346,0.004410307,0.0005996455,0.000168602,0.0009573225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09039063,"threshold_uncertainty_score":0.4780371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4864509021177346,"score_gpt":0.6537123222113409,"score_spread":0.1672614200936063,"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."}}