{"id":"W2281103901","doi":"10.1007/s10985-015-9346-8","title":"Jointly modeling longitudinal proportional data and survival times with an application to the quality of life data in a breast cancer trial","year":2015,"lang":"en","type":"article","venue":"Lifetime Data Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada","keywords":"Breast cancer; Proportional hazards model; Longitudinal data; Survival analysis; Econometrics; Computer science; Mathematics; Statistics; Mathematical optimization; Applied mathematics; Cancer; Data mining; Medicine","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":[0.09884025,0.001906863,0.005919175,0.001643579,0.001383653,0.003857694,0.004434203,0.003827182,0.004408445],"category_scores_gemma":[0.1682043,0.002751163,0.005050803,0.003145936,0.002751556,0.003780846,0.003972779,0.007123506,0.0004737683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608753,"about_ca_system_score_gemma":0.005812002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01635671,"about_ca_topic_score_gemma":0.01427344,"domain_scores_codex":[0.9515243,0.04391879,0.0008444243,0.002143648,0.0008370522,0.000731891],"domain_scores_gemma":[0.7010821,0.2802233,0.006866837,0.007940171,0.002074287,0.001813294],"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":[0.005849909,0.00109276,0.04621625,0.0006519746,0.004363578,0.001301984,0.001069503,0.7278324,0.000622233,0.111889,0.005957931,0.09315249],"study_design_scores_gemma":[0.000616764,0.0003129806,0.002703005,0.0000413325,0.0004823961,0.0001380434,0.00006927854,0.9507251,0.0001101744,0.04368413,0.001072524,0.00004420375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2037545,0.002905804,0.7823722,0.007211884,0.0002749368,0.0006002305,0.001257226,0.0005468863,0.001076388],"genre_scores_gemma":[0.712517,0.001854966,0.2717788,0.001033668,0.0007017831,0.001998528,0.002672942,0.0003484587,0.007094014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09884025,"threshold_uncertainty_score":0.5227234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3503875656319376,"score_gpt":0.4769486811814407,"score_spread":0.1265611155495031,"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."}}