{"id":"W2149190289","doi":"10.1002/hec.1244","title":"An opportunity cost approach to sample size calculation in cost‐effectiveness analysis","year":2007,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sample size determination; Statistics; Sample (material); Econometrics; Cost analysis; Computer science; Mathematics; Operations research; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08691204,0.002371319,0.002860512,0.006653875,0.0007962324,0.004071965,0.003927007,0.003948014,0.005904264],"category_scores_gemma":[0.2743791,0.001205038,0.003164272,0.005105793,0.004082963,0.005746954,0.003785487,0.008075127,0.0008146375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005436273,"about_ca_system_score_gemma":0.00627875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002923343,"about_ca_topic_score_gemma":0.002684026,"domain_scores_codex":[0.8226485,0.1549895,0.003756071,0.00260338,0.01511739,0.0008851163],"domain_scores_gemma":[0.7791986,0.2064923,0.004341759,0.004164136,0.005349761,0.0004533615],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003212632,0.0001134979,0.001415128,0.001993399,0.0007475188,0.0002606847,0.0003486013,0.1031202,0.0003866138,0.7116918,0.006202846,0.1733985],"study_design_scores_gemma":[0.0003615239,0.0004795789,0.001337842,0.001654268,0.0004895241,0.0004943455,0.000127293,0.1763368,0.0009716234,0.7878295,0.02976146,0.0001562901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001079138,0.003035263,0.986198,0.002462785,0.0003916109,0.001017007,0.0001242481,0.00007478787,0.005617164],"genre_scores_gemma":[0.106283,0.006154118,0.8743142,0.002218156,0.001016974,0.006705293,0.0002103526,0.0001849455,0.002912972],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.913088,"threshold_uncertainty_score":0.4596403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4752125649548686,"score_gpt":0.4894653035946742,"score_spread":0.01425273863980558,"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."}}