{"id":"W4361002668","doi":"10.1177/0272989x231162069","title":"General-Purpose Methods for Simulating Survival Data for Expected Value of Sample Information Calculations","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Medical Research Council; NordForsk; National Institute for Health and Care Research","keywords":"Quantile; Probabilistic logic; Sampling (signal processing); Computer science; Sample size determination; Sample (material); Statistics; Parametric statistics; Survival function; Mathematical optimization; Mathematics; Econometrics; Algorithm; Survival analysis","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":[0.007643078,0.001148243,0.001060991,0.001413875,0.0005478603,0.00115109,0.00328757,0.001440632,0.008080163],"category_scores_gemma":[0.03102968,0.0008444963,0.00187279,0.001235315,0.001074374,0.001136932,0.001651608,0.002529081,0.001431241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259407,"about_ca_system_score_gemma":0.002061155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004669981,"about_ca_topic_score_gemma":0.003861305,"domain_scores_codex":[0.9969379,0.001968161,0.000160031,0.0002431401,0.0005853703,0.0001053794],"domain_scores_gemma":[0.9784746,0.01667116,0.001034219,0.00149336,0.002033898,0.000292751],"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":[0.000127339,0.00008115545,0.002360079,0.0003537278,0.0001145818,0.0001599238,0.0002208208,0.8431472,0.001500668,0.07745333,0.002705697,0.07177545],"study_design_scores_gemma":[0.00002928726,0.00002481042,0.000144178,0.00003357013,0.00001558677,0.00004995813,0.00001394764,0.9766714,0.0006350523,0.02016927,0.002200746,0.00001218381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001207746,0.00005725795,0.9978988,0.00003789226,0.00001796959,0.00006046549,0.00005099777,0.0002773244,0.0003915077],"genre_scores_gemma":[0.0663542,0.0002654979,0.9304259,0.0001182852,0.00005839316,0.0008481844,0.0003608404,0.0003214478,0.001247332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008080163,"threshold_uncertainty_score":0.04042095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3209618895251798,"score_gpt":0.5644152090591844,"score_spread":0.2434533195340046,"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."}}