{"id":"W2746482145","doi":"10.1016/j.conctc.2017.08.003","title":"Sensitivity of adaptive enrichment trial designs to accrual rates, time to outcome measurement, and prognostic variables","year":2017,"lang":"en","type":"article","venue":"Contemporary Clinical Trials Communications","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Novartis Pharmaceuticals Corporation; H. Lundbeck A/S; Patient-Centered Outcomes Research Institute; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Accrual; Leverage (statistics); Estimator; Sample size determination; Baseline (sea); Statistics; Population; Computer science; Clinical study design; Econometrics; Clinical trial; Medicine; Mathematics; Internal medicine; Accounting; Economics","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","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1572899,0.0004466019,0.003682967,0.0001564307,0.0006671619,0.0002272227,0.002001887,0.0004148262,0.0001241686],"category_scores_gemma":[0.8507592,0.0003792885,0.0005862433,0.0002269275,0.000895482,0.0002327411,0.002378129,0.0007185822,0.0001522634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008427548,"about_ca_system_score_gemma":0.0005994599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007741365,"about_ca_topic_score_gemma":0.00003997887,"domain_scores_codex":[0.9515554,0.03808837,0.007947281,0.0009664323,0.0009571969,0.000485365],"domain_scores_gemma":[0.5348004,0.4518236,0.004212013,0.006833035,0.001328899,0.00100205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.1740489,0.0236075,0.05538506,0.0006614147,0.007619105,0.00008341821,0.001192218,0.00001203742,0.01010913,0.2773676,0.09753979,0.3523738],"study_design_scores_gemma":[0.1167982,0.01107539,0.04403235,0.002209983,0.002751922,0.000008008034,0.0002628233,0.001747001,0.001316728,0.7990108,0.01834136,0.002445478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0397949,0.0008478673,0.8379757,0.0406021,0.004036318,0.04645758,0.003321932,0.0006258365,0.02633776],"genre_scores_gemma":[0.5236098,0.00004763757,0.4748116,0.0004292542,0.0003572817,0.0004173067,0.000006459093,0.00004681247,0.0002738899],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6934693,"threshold_uncertainty_score":0.9998659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9370810160194082,"score_gpt":0.6566860927908064,"score_spread":0.2803949232286018,"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."}}