{"id":"W2758193932","doi":"10.1016/j.conctc.2017.09.010","title":"A two-stage design for phase II trials with time-to-event endpoint using restricted follow-up","year":2017,"lang":"en","type":"article","venue":"Contemporary Clinical Trials Communications","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sample size determination; Research design; Log-rank test; Clinical endpoint; Event (particle physics); Type I and type II errors; Statistics; Clinical study design; Confidence interval; Protocol (science); Computer science; Sample (material); Clinical trial; Medicine; Mathematics; Survival analysis; Internal medicine; Pathology","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1654408,0.0007390194,0.006842146,0.0002651049,0.002614915,0.0005254351,0.004878573,0.0006158006,0.0005346626],"category_scores_gemma":[0.8604379,0.0005648016,0.002018866,0.0003693783,0.00122933,0.0004161927,0.001993315,0.001112523,0.0001069647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365163,"about_ca_system_score_gemma":0.001590879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006012285,"about_ca_topic_score_gemma":0.00001540026,"domain_scores_codex":[0.9333476,0.05058884,0.01310397,0.001346541,0.0008099521,0.0008030575],"domain_scores_gemma":[0.3905583,0.586105,0.01002252,0.01112681,0.001119817,0.001067495],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.1717521,0.03393651,0.0005466891,0.0006660025,0.01329558,0.0001331466,0.001115324,0.0002055213,0.0124499,0.2822317,0.2165354,0.2671321],"study_design_scores_gemma":[0.1431257,0.01266803,0.000127956,0.001755994,0.004179835,0.000008359018,0.0002153393,0.0244363,0.002490284,0.7083721,0.100359,0.002261177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004888521,0.0003045271,0.9610737,0.009055109,0.001480338,0.01699719,0.002689855,0.0003789505,0.003131814],"genre_scores_gemma":[0.08423749,0.0001215383,0.9091654,0.0006265149,0.00106052,0.001487069,0.00007132574,0.0001816394,0.003048458],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6949971,"threshold_uncertainty_score":0.9996803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9432171982001953,"score_gpt":0.7028431125306549,"score_spread":0.2403740856695404,"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."}}