{"id":"W4417107648","doi":"10.6000/1929-6029.2025.14.70","title":"A New Robust Imputation Method for Longitudinal Data with Non-Normal Continuous Outcomes","year":2025,"lang":"","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Missing data; Imputation (statistics); Longitudinal data; Multivariate statistics; Normality; Robustness (evolution); Regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007559903,0.0008755186,0.002169192,0.001747438,0.0007287276,0.001218666,0.003848415,0.001875887,0.004180765],"category_scores_gemma":[0.01811108,0.0007096971,0.003263996,0.003186689,0.0005419,0.001835211,0.001667485,0.002951236,0.001897804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005549991,"about_ca_system_score_gemma":0.001999923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246711,"about_ca_topic_score_gemma":0.002037629,"domain_scores_codex":[0.9946343,0.002880766,0.0002969681,0.0009732265,0.001042788,0.0001718988],"domain_scores_gemma":[0.9939276,0.003290356,0.0006677003,0.0007215741,0.001233971,0.0001587256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005327939,0.0002098497,0.005934746,0.0009306658,0.001399576,0.0007423446,0.0004137871,0.18741,0.007051157,0.08189422,0.02522794,0.6882529],"study_design_scores_gemma":[0.000111753,0.000157541,0.001374259,0.0001140244,0.0002061636,0.0006777259,0.00003961664,0.946665,0.002102749,0.03303507,0.01541337,0.0001026926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005495371,0.00018993,0.9986442,0.0001071904,0.00006252347,0.00002385945,0.0001079238,0.000181896,0.0001329255],"genre_scores_gemma":[0.03165555,0.0006699489,0.9629323,0.000243647,0.0003022818,0.0004807622,0.00107865,0.0002223383,0.002414426],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007559903,"threshold_uncertainty_score":0.03998101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1668352769701048,"score_gpt":0.5590105407798045,"score_spread":0.3921752638096997,"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."}}