{"id":"W3028037905","doi":"10.1177/0272989x20915452","title":"The Theoretical Relationship between Sample Size and Expected Predictive Precision for EQ-5D Valuation Studies: A Mathematical Exploration and Simulation Study","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Homoscedasticity; Sample size determination; Heteroscedasticity; Ordinary least squares; Mathematics; Mean squared error; Statistics; Valuation (finance); Econometrics; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02146873,0.0001960225,0.0007495088,0.0001079108,0.0007441235,0.0001811333,0.0001985234,0.0001957553,0.00009246784],"category_scores_gemma":[0.4055494,0.0001666228,0.00006766758,0.0002520895,0.0002349804,0.0004794912,0.0001668902,0.0002483558,0.00005162208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721705,"about_ca_system_score_gemma":0.00007153225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003300816,"about_ca_topic_score_gemma":0.000008149938,"domain_scores_codex":[0.9946569,0.0007612389,0.003140359,0.0006687691,0.0004959183,0.0002768383],"domain_scores_gemma":[0.8231134,0.1748779,0.001114455,0.0003473074,0.0002256079,0.0003212886],"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":[0.001086631,0.0003677747,0.2670589,0.000578511,0.0003953191,0.000002612031,0.08070972,0.004323703,0.000001064148,0.5890619,0.002578306,0.05383563],"study_design_scores_gemma":[0.001023445,0.0003746628,0.04557643,0.0001474526,0.00002595081,6.412271e-7,0.005876473,0.3570487,2.088385e-7,0.589548,0.0002528503,0.000125231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2935683,0.0005770393,0.6848945,0.01887405,0.0001365361,0.001815855,0.00004995338,0.00005041844,0.00003333609],"genre_scores_gemma":[0.9829265,0.00006487306,0.01494716,0.001259806,0.0004461937,0.000309642,0.00001135076,0.00002831422,0.000006140041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6893582,"threshold_uncertainty_score":0.7440674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6966471250686277,"score_gpt":0.519689248180606,"score_spread":0.1769578768880217,"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."}}