{"id":"W3184405065","doi":"10.1177/0272989x211026292","title":"Simulating Study Data to Support Expected Value of Sample Information Calculations: A Tutorial","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Medical Research Council; Norges Forskningsråd; University of Bristol; Department of Health and Social Care; Strong; Canadian Institutes of Health Research; National Institute for Health and Care Research; University Hospitals Bristol NHS Foundation Trust","keywords":"Bridging (networking); Missing data; Probabilistic logic; Sample (material); Key (lock); Value (mathematics); Outcome (game theory); Sample size determination","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":[0.00877698,0.002272084,0.001231857,0.00254716,0.0004359812,0.002474447,0.002133616,0.001908274,0.03711391],"category_scores_gemma":[0.0511599,0.001445427,0.002214872,0.00186929,0.0005128398,0.002832046,0.001846823,0.003512084,0.01169581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338257,"about_ca_system_score_gemma":0.002571525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388377,"about_ca_topic_score_gemma":0.003557656,"domain_scores_codex":[0.9965302,0.002138737,0.0003526583,0.0002608757,0.0006369668,0.00008052664],"domain_scores_gemma":[0.9651496,0.03088981,0.0007344459,0.00089981,0.001978288,0.0003481047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001291404,0.0001952966,0.002364228,0.003097166,0.0002993016,0.000646946,0.0007158096,0.1017836,0.002590248,0.1844419,0.1663894,0.537347],"study_design_scores_gemma":[0.0001869274,0.0001519876,0.001389763,0.002619698,0.00013374,0.001045434,0.00014542,0.2465769,0.003897057,0.2718979,0.4717745,0.0001806266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009203437,0.002827777,0.9795749,0.00157855,0.0003886049,0.0005404252,0.002357243,0.004572889,0.007239295],"genre_scores_gemma":[0.007976979,0.006344098,0.9725562,0.0009027027,0.0004641283,0.001592341,0.002730996,0.001998166,0.005434362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03711391,"threshold_uncertainty_score":0.1241584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4848813593112004,"score_gpt":0.5247604619037006,"score_spread":0.03987910259250022,"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."}}