{"id":"W2332566401","doi":"10.1177/0962280214552291","title":"Confidence intervals for a difference between lognormal means in cluster randomization trials","year":2014,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Confidence interval; Statistics; Randomization; Coverage probability; Sample size determination; Variance (accounting); Inference; Cluster randomised controlled trial; Mathematics; Cluster (spacecraft); Causal inference; Randomized controlled trial; Econometrics; Computer science; Medicine; Artificial intelligence","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":[0.278896,0.001721888,0.004897626,0.004943584,0.001239091,0.005598273,0.006282327,0.005990291,0.005190907],"category_scores_gemma":[0.7363703,0.00122932,0.004040335,0.005078261,0.006600256,0.006451113,0.005116168,0.009255924,0.000748592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002736947,"about_ca_system_score_gemma":0.003083801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739537,"about_ca_topic_score_gemma":0.0008342484,"domain_scores_codex":[0.7268302,0.2347258,0.009757478,0.01121737,0.01615338,0.001315631],"domain_scores_gemma":[0.1545776,0.7911214,0.0200611,0.02427985,0.008800419,0.001159614],"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":[0.00777097,0.0003274482,0.0135155,0.006547241,0.005182112,0.0007091954,0.002716631,0.1030652,0.00127746,0.5983133,0.01069629,0.2498786],"study_design_scores_gemma":[0.002107308,0.001579794,0.007713255,0.004377333,0.002792626,0.001084614,0.0004283607,0.3316375,0.003477124,0.6308863,0.01354854,0.0003671825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01612697,0.008507141,0.967311,0.001715798,0.0004705035,0.0009419695,0.0005373014,0.0007028442,0.003686418],"genre_scores_gemma":[0.4305422,0.004032085,0.5542818,0.001780607,0.0005725016,0.006226072,0.001053881,0.0003586195,0.001152257],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.721104,"threshold_uncertainty_score":0.8892496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4184040050732689,"score_gpt":0.6391732705030557,"score_spread":0.2207692654297869,"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."}}