{"id":"W4380589797","doi":"10.1002/sim.9811","title":"Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances","year":2023,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Patient-Centered Outcomes Research Institute","keywords":"Sample size determination; Univariate; Randomized controlled trial; Statistics; Context (archaeology); Cluster (spacecraft); Multivariate statistics; Sample (material); Outcome (game theory); Econometrics; Mathematics; Computer science; Medicine; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.271277,0.002151218,0.003999448,0.004195656,0.00113953,0.003621711,0.004577098,0.004981563,0.005056334],"category_scores_gemma":[0.6817406,0.00148425,0.004291233,0.002651923,0.004773149,0.005693965,0.003709481,0.008380572,0.0008859336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651062,"about_ca_system_score_gemma":0.005750598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516046,"about_ca_topic_score_gemma":0.001252242,"domain_scores_codex":[0.667017,0.2770731,0.01918804,0.00975805,0.02583918,0.001124713],"domain_scores_gemma":[0.3136704,0.6428425,0.01291953,0.01685962,0.01309824,0.0006096705],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002407608,0.0002619182,0.008775908,0.005963836,0.003168437,0.0008799292,0.001925447,0.07192426,0.002976257,0.5110645,0.01955617,0.3710958],"study_design_scores_gemma":[0.003174008,0.002223225,0.005718177,0.004602361,0.002063131,0.001107747,0.0003444517,0.2670173,0.005841614,0.6696857,0.03794645,0.0002757851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00230398,0.002452911,0.9866499,0.003045652,0.0006192438,0.002288142,0.0002472952,0.0003233672,0.002069449],"genre_scores_gemma":[0.1311806,0.001844128,0.8392249,0.005031365,0.001043883,0.01992896,0.0004197311,0.0003469177,0.0009796366],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.728723,"threshold_uncertainty_score":0.8986453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4891207170419741,"score_gpt":0.5797179367516512,"score_spread":0.09059721970967705,"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."}}