{"id":"W4280562270","doi":"10.1002/pst.2231","title":"Two‐stage subgroup‐specific time‐to‐event (2S‐Sub‐TITE): An adaptive two‐stage time‐to‐toxicity design for subgroup‐specific dose finding in phase I oncology trials","year":2022,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Subgroup analysis; Mathematics; Statistics; Sample size determination; Cluster analysis; Event (particle physics); Confidence interval","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","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.03768592,0.001221391,0.004061324,0.000751467,0.000832633,0.0002732665,0.001634592,0.0003617206,0.02837721],"category_scores_gemma":[0.05984899,0.001267728,0.0005334694,0.001675173,0.0004964345,0.0002456032,0.001033242,0.002154903,0.001668989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002514348,"about_ca_system_score_gemma":0.0005066221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002495303,"about_ca_topic_score_gemma":0.00001407126,"domain_scores_codex":[0.9715206,0.0160848,0.005470898,0.002436978,0.001959093,0.002527655],"domain_scores_gemma":[0.8396204,0.1558236,0.001180996,0.001116942,0.0004082999,0.001849761],"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":[0.05659872,0.01837696,0.00002758436,0.0004679793,0.0008105575,0.001696773,0.001739242,0.009113785,0.08250885,0.4223673,0.08931594,0.3169763],"study_design_scores_gemma":[0.04565733,0.01334544,0.00003814922,0.0001572315,0.0009392126,0.00004133399,0.0004373696,0.232789,0.02155168,0.4767767,0.2051003,0.003166273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0108895,0.0001231648,0.9530342,0.0006359888,0.001391852,0.01025372,0.02258696,0.0003299665,0.000754697],"genre_scores_gemma":[0.01978178,0.00006819906,0.9722874,0.001608449,0.001182128,0.002751334,0.0002705881,0.0003826056,0.001667507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3138101,"threshold_uncertainty_score":0.9991083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7099022599683399,"score_gpt":0.6160788559671313,"score_spread":0.09382340400120859,"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."}}