{"id":"W4399131742","doi":"10.1177/09622802241248382","title":"Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures","year":2024,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Center for Advancing Translational Sciences; Patient-Centered Outcomes Research Institute; National Institute on Aging; National Institutes of Health; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada","keywords":"Estimator; Random effects model; Statistics; Linear model; Mathematics; Mixed model; Robust statistics; Variance (accounting); Cluster (spacecraft); Computer science; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.2822117,0.002526415,0.005414601,0.002870784,0.001725534,0.006643208,0.007861287,0.006138942,0.004536898],"category_scores_gemma":[0.7019325,0.00249419,0.00586295,0.003710583,0.00869045,0.008996081,0.00557448,0.008961902,0.001486008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00349297,"about_ca_system_score_gemma":0.009136275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003980385,"about_ca_topic_score_gemma":0.00246646,"domain_scores_codex":[0.738983,0.2193068,0.01049058,0.01562983,0.01402165,0.001568145],"domain_scores_gemma":[0.2745123,0.659463,0.01996073,0.03523287,0.01015352,0.0006776095],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001248429,0.0002129842,0.01611322,0.005313624,0.004932742,0.00114998,0.003026937,0.1444507,0.001125707,0.6006798,0.007659422,0.2140865],"study_design_scores_gemma":[0.0007339919,0.0005250638,0.002846717,0.001708232,0.0009437755,0.0004514727,0.0003835286,0.2264386,0.002164093,0.7546214,0.009003225,0.0001798831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003935782,0.001337136,0.990523,0.001599935,0.0001558528,0.0005541082,0.0003152865,0.0002821026,0.001296841],"genre_scores_gemma":[0.2100671,0.002120715,0.7765323,0.003245014,0.0004403489,0.005092304,0.00082859,0.0004357843,0.001237884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7177883,"threshold_uncertainty_score":0.8851608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4629563273004675,"score_gpt":0.6140813913553269,"score_spread":0.1511250640548594,"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."}}