{"id":"W2044932116","doi":"10.1007/s40273-013-0123-9","title":"Survival Modeling for the Estimation of Transition Probabilities in Model-Based Economic Evaluations in the Absence of Individual Patient Data: A Tutorial","year":2013,"lang":"en","type":"article","venue":"PharmacoEconomics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Programs for Assessment of Technology in Health Research Institute","funders":"","keywords":"Computer science; Parametric statistics; Statistics; Statistical model; Parametric model; Logistic regression; Data mining; Econometrics; Machine learning; 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":[0.01745939,0.003305833,0.00374939,0.003171365,0.0005076697,0.002483594,0.003683643,0.003839955,0.006886209],"category_scores_gemma":[0.04650182,0.002459004,0.003933174,0.004169446,0.002080533,0.004041051,0.00269051,0.009640633,0.0041386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683499,"about_ca_system_score_gemma":0.00213458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004788597,"about_ca_topic_score_gemma":0.003628463,"domain_scores_codex":[0.9941485,0.003999953,0.0004721029,0.0005365419,0.0007244785,0.0001183949],"domain_scores_gemma":[0.9635969,0.03349503,0.0006266417,0.0008559874,0.001227971,0.000197557],"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":[0.00009964009,0.0002310966,0.001190646,0.00175006,0.0005434209,0.0003439777,0.0004567609,0.1742274,0.001190941,0.5150424,0.03409126,0.2708324],"study_design_scores_gemma":[0.00004940911,0.00007017523,0.0003272648,0.0004163409,0.00008487714,0.0002649186,0.00004197446,0.4165028,0.0004963829,0.5484274,0.03321831,0.0001002006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001691043,0.006601256,0.9916174,0.0005613021,0.0001554886,0.00002559776,0.00008702122,0.0002341889,0.0005487329],"genre_scores_gemma":[0.01604016,0.02766004,0.9480296,0.000906778,0.001696264,0.000631662,0.0006031518,0.0005956044,0.003836736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01745939,"threshold_uncertainty_score":0.09233522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.585087396856932,"score_gpt":0.5634263158170457,"score_spread":0.02166108103988629,"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."}}