{"id":"W1991362225","doi":"10.1002/sim.3383","title":"Sample size calculation for cluster randomized cross‐over trials","year":2008,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Intraclass correlation; Sample size determination; Cluster (spacecraft); Statistics; Sample (material); Cluster analysis; Cross over; Randomized controlled trial; Computer science; Correlation; External validity; Econometrics; Mathematics; Medicine; Physics; Psychometrics; Internal medicine; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.1483689,0.001385081,0.003871889,0.004125003,0.0007435881,0.001569169,0.002822675,0.003243516,0.005587392],"category_scores_gemma":[0.447247,0.0009387181,0.00251355,0.002974994,0.001900422,0.001969222,0.002091015,0.003884183,0.0008626127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788893,"about_ca_system_score_gemma":0.003095895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006583501,"about_ca_topic_score_gemma":0.0005029361,"domain_scores_codex":[0.8549059,0.1205636,0.008418242,0.004275285,0.01116013,0.0006768632],"domain_scores_gemma":[0.6914732,0.278543,0.007524927,0.01081657,0.01072417,0.0009181998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008621068,0.0003932836,0.005422442,0.006872026,0.002689728,0.0003746344,0.0008408347,0.03361918,0.002460405,0.1851297,0.02565952,0.7279173],"study_design_scores_gemma":[0.01411079,0.008060887,0.008754808,0.004664871,0.003621106,0.001345469,0.0002019886,0.423248,0.0140235,0.4329562,0.08868615,0.0003262052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004636487,0.001884911,0.9810349,0.0008437638,0.0009858061,0.008015568,0.0002988452,0.0004475575,0.001852144],"genre_scores_gemma":[0.08289186,0.0008732643,0.8702727,0.001296328,0.0004069471,0.04284982,0.0004023422,0.0002277826,0.0007790385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1483689,"threshold_uncertainty_score":0.7846593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5602429666646603,"score_gpt":0.6200809675466604,"score_spread":0.05983800088200009,"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."}}