{"id":"W2007011920","doi":"10.1016/j.jspi.2004.06.005","title":"Comparison of methods for incomplete repeated measures data analysis in small samples","year":2004,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Statistics Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imputation (statistics); Missing data; Multivariate statistics; Statistics; Inference; Mathematics; Repeated measures design; Sample size determination; Data mining; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002665973,0.0001524604,0.001033969,0.0002964408,0.00005333055,0.00004474682,0.00034362,0.00008213599,0.00001823398],"category_scores_gemma":[0.0231811,0.0001170825,0.00005768444,0.0003593971,0.0001756205,0.0001027221,0.00009405676,0.0003036502,1.342759e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002821508,"about_ca_system_score_gemma":0.0001188498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099333,"about_ca_topic_score_gemma":0.00003853118,"domain_scores_codex":[0.9978276,0.0003028015,0.001252546,0.0002300103,0.0001690641,0.000217976],"domain_scores_gemma":[0.98602,0.01262655,0.0006392403,0.0002744028,0.0003023044,0.0001374958],"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":[0.0004144547,0.000363363,0.09691856,0.0003870872,0.0005549706,0.00002357032,0.0012239,0.0004192592,0.00122292,0.7255374,0.0001437003,0.1727909],"study_design_scores_gemma":[0.0008172233,0.0005146099,0.06486511,0.0003820116,0.0006367851,0.00001263345,0.0003041362,0.02033583,0.0003960533,0.9114923,0.00007434701,0.0001689303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01206427,0.0002772283,0.9870597,0.00005909234,0.00004753787,0.00009550941,0.0003288883,0.000006702662,0.00006103387],"genre_scores_gemma":[0.3792958,0.00001451257,0.6206408,0.00001065665,0.00001602121,0.000001296148,0.00001481214,0.000005411852,6.724694e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3672315,"threshold_uncertainty_score":0.985047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.483232859096804,"score_gpt":0.553904635177514,"score_spread":0.07067177608070996,"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."}}