{"id":"W4327860511","doi":"10.1017/9781108917919.005","title":"Common Types of Adaptive Trial Designs","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Adaptive design; Sample size determination; Interim; Interim analysis; Flexibility (engineering); Computer science; Research design; Type I and type II errors; Clinical study design; Clinical trial; Reliability engineering; Statistics; Engineering; Medicine; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001006233,0.0003827513,0.001409523,0.0001738619,0.00008382037,0.0000141779,0.0006340008,0.0007012995,0.0000212684],"category_scores_gemma":[0.003724559,0.0004104647,0.0004678706,0.00001620137,0.0005310503,0.00002790299,0.0004776739,0.0006554651,0.00003158433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142781,"about_ca_system_score_gemma":0.0001356667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004249807,"about_ca_topic_score_gemma":0.000002382076,"domain_scores_codex":[0.9976327,0.0004282508,0.0007005523,0.0005029826,0.0004672095,0.0002683067],"domain_scores_gemma":[0.9746406,0.02342207,0.0007755891,0.0007511495,0.0002446728,0.0001658909],"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":[0.01044342,0.00003076176,9.635313e-8,0.000164306,0.0004210253,0.0001579653,0.00001737323,5.520668e-7,0.000009154476,0.9654909,0.02121069,0.002053781],"study_design_scores_gemma":[0.05718697,0.005587929,0.000006283042,0.00272606,0.00664571,0.00001111053,0.0001262865,0.0002373034,0.002263984,0.5942745,0.3283046,0.002629191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003655228,0.00001353384,0.0157716,0.000007097187,0.000817861,0.001251296,0.001259442,0.0002041319,0.9806385],"genre_scores_gemma":[0.0001305151,0.00004171036,0.04897732,0.00001186777,0.0002920007,0.000001970118,0.000007779723,0.000101051,0.9504358],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3712163,"threshold_uncertainty_score":0.9998347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5965747815827512,"score_gpt":0.441501707413987,"score_spread":0.1550730741687642,"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."}}