{"id":"W4312118888","doi":"10.1002/sim.9632","title":"Power analyses for stepped wedge designs with multivariate continuous outcomes","year":2022,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Center for Advancing Translational Sciences; National Institute on Aging","keywords":"Multivariate statistics; Univariate; Statistics; Multivariate analysis; Estimator; Sample size determination; Multivariate normal distribution; Computer science; Linear model; Econometrics; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00476324,0.0002987371,0.001418766,0.0002129273,0.0001858823,0.00001437665,0.0003704648,0.00007034544,0.002298281],"category_scores_gemma":[0.1126208,0.0002091385,0.00006414561,0.000402472,0.0003631505,0.00002632534,0.0001306664,0.0004869053,0.000004909634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357064,"about_ca_system_score_gemma":0.000101848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008324609,"about_ca_topic_score_gemma":0.00003572294,"domain_scores_codex":[0.9958816,0.001100674,0.001278966,0.0004870902,0.0007701073,0.0004815875],"domain_scores_gemma":[0.9012395,0.09749831,0.0004410936,0.0004700263,0.0002059065,0.0001451221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002463038,0.001011924,0.007395464,0.0003504771,0.0006958051,0.0004208678,0.002336048,0.0001145338,0.0007626586,0.9140432,0.06377,0.006636009],"study_design_scores_gemma":[0.009952517,0.002167271,0.0040215,0.00008936273,0.0003856572,0.000009001601,0.001510892,0.001374033,0.0000573182,0.9784821,0.001604317,0.0003460192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001842323,0.00004056011,0.9917019,0.0007203463,0.0008802857,0.001653843,0.001686729,0.00007133446,0.0014027],"genre_scores_gemma":[0.0598537,0.000005403467,0.9375214,0.0005865249,0.0001055789,0.000481877,0.00003040109,0.00007130974,0.001343794],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1078575,"threshold_uncertainty_score":0.9986138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6093308194721376,"score_gpt":0.6148700768653204,"score_spread":0.005539257393182728,"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."}}