{"id":"W2886612504","doi":"10.1002/cjs.11460","title":"Response adaptive designs with asymptotic optimality","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Asymptotically optimal algorithm; Wald test; Statistic; Statistical inference; Upper and lower bounds; Statistics; Rate of convergence; Applied mathematics; Confidence interval; Inference; Mathematical optimization; Statistical hypothesis testing; Computer science; Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.1225554,0.001876187,0.004894128,0.002949623,0.000798171,0.002473074,0.00274742,0.003408335,0.0113146],"category_scores_gemma":[0.2820276,0.001543701,0.00319278,0.002225103,0.00475871,0.003173998,0.004258392,0.005568201,0.001603185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001995638,"about_ca_system_score_gemma":0.004333061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008162766,"about_ca_topic_score_gemma":0.0004270106,"domain_scores_codex":[0.805555,0.1727615,0.003962826,0.005321426,0.01106443,0.001334679],"domain_scores_gemma":[0.7315784,0.2382524,0.006968543,0.01433892,0.008056453,0.0008052828],"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":[0.0009130072,0.0002190906,0.001334394,0.001162779,0.0006054352,0.0001717597,0.0004906118,0.04830236,0.0007441386,0.8365552,0.002782112,0.1067192],"study_design_scores_gemma":[0.001039458,0.001178552,0.0009679923,0.0005008839,0.0002573826,0.0001861957,0.0001025826,0.2200692,0.001086792,0.7673084,0.007234485,0.0000679634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003084477,0.0004790806,0.9913287,0.0005418701,0.0001300204,0.0005976722,0.00008841274,0.000142579,0.003607274],"genre_scores_gemma":[0.1798903,0.0009554419,0.8072382,0.001494792,0.0004565119,0.006433016,0.0002577738,0.0001817946,0.003092066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1225554,"threshold_uncertainty_score":0.6481429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5732381775282754,"score_gpt":0.4962286941908855,"score_spread":0.07700948333738994,"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."}}