{"id":"W4280542190","doi":"10.1002/pst.2234","title":"Standard and reference‐based conditional mean imputation","year":2022,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Medical Research Council Canada","keywords":"Missing data; Jackknife resampling; Frequentist inference; Imputation (statistics); Pooling; Computer science; Statistics; Inference; Bayesian probability; Econometrics; Bayesian inference; Mathematics; Estimator; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0436107,0.0009095363,0.00235625,0.002875657,0.0007946588,0.002499027,0.005539639,0.002135148,0.007591425],"category_scores_gemma":[0.1500425,0.0008737223,0.002868254,0.005625926,0.001425026,0.002380582,0.002992334,0.003001501,0.002820399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176618,"about_ca_system_score_gemma":0.004639875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158688,"about_ca_topic_score_gemma":0.00210874,"domain_scores_codex":[0.951398,0.03449709,0.002357032,0.003967204,0.007098104,0.000682654],"domain_scores_gemma":[0.9401866,0.03340639,0.005295023,0.01435031,0.006343536,0.0004180681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005685132,0.0001487527,0.005745168,0.00124123,0.001369301,0.0002037115,0.0004803612,0.05088881,0.001076828,0.4003837,0.02715166,0.510742],"study_design_scores_gemma":[0.0003397987,0.0004615884,0.004653868,0.0008358127,0.0005445614,0.000860198,0.00009112005,0.305104,0.004591535,0.6290767,0.0532175,0.000223315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001631659,0.0008240653,0.9941213,0.0003619423,0.00012625,0.0001652421,0.0004255042,0.0004001268,0.001944017],"genre_scores_gemma":[0.08288916,0.001297713,0.9083259,0.0006015131,0.0002758259,0.001530862,0.001759563,0.0003687957,0.002950719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0436107,"threshold_uncertainty_score":0.2306382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6731853966455711,"score_gpt":0.6174407262752281,"score_spread":0.05574467037034303,"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."}}