{"id":"W2160212727","doi":"10.1080/02331880802497447","title":"On testing the bioequivalence of several treatments using the measure of distance","year":2009,"lang":"en","type":"article","venue":"Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; National Science Council","keywords":"Mathematics; Studentized range; Bioequivalence; Statistics; Sample size determination; Null hypothesis; F-test of equality of variances; Null (SQL); p-value; Resampling; Variance (accounting); Measure (data warehouse); Range (aeronautics); Statistical hypothesis testing; Levene's test; Test statistic; Data mining; Standard error; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001578314,0.0001562572,0.0004079686,0.00001982874,0.0001127691,0.00001327195,0.0003361112,0.00006318123,0.00005086974],"category_scores_gemma":[0.1014873,0.0000824076,0.00006184015,0.0002588158,0.0003798293,0.00001975028,0.0000335698,0.0002021683,0.00000209706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003781155,"about_ca_system_score_gemma":0.00008003016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001304993,"about_ca_topic_score_gemma":0.000001850321,"domain_scores_codex":[0.9977156,0.0005567506,0.000750177,0.0001837437,0.0005828203,0.0002109444],"domain_scores_gemma":[0.9443828,0.0542455,0.0005341396,0.0005152766,0.0002753173,0.00004694249],"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":[0.0001472075,0.0002920748,0.0002261777,0.0001041134,0.00008642986,0.00000929309,0.0003036759,0.0001762075,0.001280408,0.9544974,0.001023837,0.04185316],"study_design_scores_gemma":[0.0004023215,0.0003975789,0.001837698,0.0002072989,0.0002078981,0.000003162513,0.00005788567,0.006237454,0.001012664,0.9895269,0.00001437,0.00009479617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009695575,0.00003474271,0.9872577,0.0001238789,0.0002021921,0.0003982687,0.001006386,0.0000180418,0.001263198],"genre_scores_gemma":[0.3267916,0.000005205821,0.67301,0.00008986014,0.00004724402,0.000002524192,5.340904e-7,0.00001098584,0.00004210963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.317096,"threshold_uncertainty_score":0.9060813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7165878831731174,"score_gpt":0.5747739514518423,"score_spread":0.1418139317212751,"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."}}