{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006343108,0.0001118002,0.000348528,0.00006467512,0.00003682551,0.00003086099,0.0005256536,0.00005919793,0.00003828258],"category_scores_gemma":[0.00496786,0.00008171819,0.00006996073,0.00005195878,0.0001107322,0.0002297445,0.00004815806,0.0001415172,0.000001611774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008490276,"about_ca_system_score_gemma":0.0002249913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001286804,"about_ca_topic_score_gemma":0.00006257739,"domain_scores_codex":[0.9977695,0.0004591647,0.00125103,0.0002280915,0.0001422679,0.0001499807],"domain_scores_gemma":[0.9708636,0.028275,0.0003357779,0.0004318707,0.00007221266,0.00002149968],"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":[0.0001082942,0.0001454371,0.00001783961,0.0001118876,0.00002484191,2.213149e-8,0.001603957,0.9674618,0.00004234407,0.02070785,0.00008602287,0.00968969],"study_design_scores_gemma":[0.000842637,0.00002892581,0.00001680959,0.00001697981,0.00004579289,6.820541e-8,0.0002432789,0.6049554,0.0001888981,0.3936108,0.000001173955,0.00004921243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4823335,0.00001100785,0.5141474,0.0004641229,0.0003727334,0.00188279,0.0007600462,0.000005690539,0.0000226681],"genre_scores_gemma":[0.7570214,0.000009071254,0.2423799,0.00006676463,0.0000832228,0.0004045395,0.00002371838,0.00001100159,3.364564e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3729029,"threshold_uncertainty_score":0.5947352,"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."}}