{"id":"W7015017619","doi":"","title":"Response adaptive designs for clinical trials with continuous outcomes","year":2013,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Adaptive design; Randomization; Clinical trial; Research design; Clinical study design; Statistical power; Power (physics); Sequential analysis; Design of experiments","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.01985377,0.0004698588,0.003807755,0.000223578,0.0001942355,0.00003653389,0.0006898051,0.0009894599,0.0001017876],"category_scores_gemma":[0.1630169,0.0004255365,0.001031236,0.0001771388,0.0003416228,0.0001158,0.00007299373,0.0006127839,0.0000608369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092902,"about_ca_system_score_gemma":0.0003555212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001920542,"about_ca_topic_score_gemma":0.01316265,"domain_scores_codex":[0.9897404,0.007295134,0.001225097,0.0007326322,0.0006052808,0.0004014915],"domain_scores_gemma":[0.7682212,0.2272849,0.002703517,0.0006881793,0.0008718508,0.0002303795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.3386082,0.004000479,0.02239984,0.003145206,0.01325233,0.0003762747,0.00236649,0.000005962369,0.0007635884,0.1438459,0.4124949,0.05874095],"study_design_scores_gemma":[0.02892532,0.01213876,0.2530259,0.002509049,0.01186169,0.000006988689,0.102475,0.0003887564,0.0007461117,0.5753022,0.009799305,0.002820842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5091689,0.0001019861,0.4731486,0.001630083,0.002671417,0.009225676,0.001191768,0.0002933948,0.00256821],"genre_scores_gemma":[0.005972235,0.00008964069,0.9806885,0.00006160584,0.0001872126,0.00001779072,0.00004558814,0.0001128745,0.01282461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5075398,"threshold_uncertainty_score":0.9998196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6383076151992558,"score_gpt":0.5326649859393171,"score_spread":0.1056426292599387,"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."}}