{"id":"W2057887804","doi":"10.1016/s0197-2456(01)00110-6","title":"Analysis, Sample Size, and Power for Estimating Incremental Net Health Benefit from Clinical Trial Data","year":2001,"lang":"en","type":"article","venue":"Controlled Clinical Trials","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; St. Joseph's Hospital","funders":"","keywords":"Sample size determination; Confidence interval; Willingness to pay; Statistics; Sample (material); Net present value; Econometrics; Computer science; Actuarial science; Mathematics; Economics; Production (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","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3367413,0.000376652,0.01014972,0.0002559951,0.0003867921,0.0003035289,0.0008571462,0.0004878257,0.001467808],"category_scores_gemma":[0.5276306,0.0003892221,0.00145225,0.000311339,0.0001703788,0.0004619979,0.0002969156,0.0004191636,0.0001853324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820918,"about_ca_system_score_gemma":0.0003811444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002152477,"about_ca_topic_score_gemma":0.0007526816,"domain_scores_codex":[0.958714,0.006399834,0.03191903,0.002009184,0.0002051986,0.0007527357],"domain_scores_gemma":[0.5106372,0.4602591,0.02419012,0.003363974,0.0002112478,0.001338389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.1848467,0.004032132,0.6283163,0.0002041514,0.02580176,0.000004672781,0.0005644743,0.0004839561,0.000001057243,0.03096856,0.08221282,0.04256336],"study_design_scores_gemma":[0.5375243,0.002530673,0.04269748,0.00008538555,0.00119171,0.000001038711,0.0003508173,0.2856675,6.806733e-8,0.05645425,0.07260911,0.0008876846],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5557826,0.0113597,0.2701635,0.09867064,0.01382423,0.02168748,0.0274499,0.0002498062,0.0008121784],"genre_scores_gemma":[0.6273103,0.002918826,0.2729859,0.07158794,0.01977239,0.001175571,0.003470717,0.0001637916,0.0006145124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5856189,"threshold_uncertainty_score":0.999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8326274986839292,"score_gpt":0.6359805227877856,"score_spread":0.1966469758961435,"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."}}