{"id":"W2942218366","doi":"10.1177/1740774519829053","title":"Sample size calculation for stepped-wedge cluster-randomized trials with more than two levels of clustering","year":2019,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"ZonMw","keywords":"Cluster analysis; Sample size determination; Statistics; Cluster (spacecraft); Wedge (geometry); Mathematics; Randomized controlled trial; Sample (material); Cluster randomised controlled trial; Medicine; Computer science; Internal medicine; Chemistry; Chromatography","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"],"category_scores_codex":[0.2799147,0.0006144029,0.01431692,0.0001346077,0.0000983343,0.00009944184,0.0006483322,0.0007282775,0.001036653],"category_scores_gemma":[0.9522637,0.000393892,0.00344829,0.0003474115,0.0006836685,0.0001580599,0.0002481854,0.0005632319,0.00003991227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006390024,"about_ca_system_score_gemma":0.0002828812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003695463,"about_ca_topic_score_gemma":0.00002197496,"domain_scores_codex":[0.9360504,0.04396058,0.01687195,0.001300963,0.001050084,0.0007660052],"domain_scores_gemma":[0.0898484,0.900515,0.007125716,0.001408442,0.0007200377,0.0003824332],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.794524,0.002074737,0.003267385,0.002789938,0.006107678,0.000008352713,0.0004583396,0.0005722763,0.001556936,0.1021432,0.003682099,0.08281501],"study_design_scores_gemma":[0.3724876,0.0009939679,0.0005994156,0.00064362,0.002469344,0.000002475149,0.00006970008,0.007342463,0.000891256,0.6137282,0.0002404437,0.0005315015],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06903601,0.00004784654,0.9056845,0.0008748192,0.003540207,0.01858434,0.001675444,0.0001573924,0.0003994832],"genre_scores_gemma":[0.1875438,0.00003156391,0.8088716,0.0003758942,0.00193977,0.0005541903,0.00001097208,0.0001297981,0.0005423639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8565544,"threshold_uncertainty_score":0.9998766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7961628239582689,"score_gpt":0.6575450384263186,"score_spread":0.1386177855319503,"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."}}