{"id":"W4307958056","doi":"10.1016/j.csda.2022.107646","title":"A unified framework of multiply robust estimation approaches for handling incomplete data","year":2022,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Institute on Minority Health and Health Disparities; National Institute of General Medical Sciences","keywords":"Imputation (statistics); Missing data; Quantile; Weighting; Computer science; Inverse probability weighting; Data mining; Population; Mathematics; Statistics; Mathematical optimization; Algorithm; Estimator","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":[],"consensus_categories":[],"category_scores_codex":[0.00172023,0.0001919852,0.0005983739,0.0002827328,0.0004356614,0.00008473625,0.001335092,0.00004660547,0.0002885293],"category_scores_gemma":[0.007219501,0.0002011382,0.00006916845,0.001036022,0.0001240126,0.0001689485,0.001320825,0.000220492,0.000001784687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005479156,"about_ca_system_score_gemma":0.0001594464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001374055,"about_ca_topic_score_gemma":0.00005323636,"domain_scores_codex":[0.9972289,0.0003276666,0.0008278881,0.0007062528,0.0006798058,0.000229538],"domain_scores_gemma":[0.9854131,0.01224496,0.0005662857,0.001450552,0.0002407599,0.00008438811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005107987,0.0001878238,0.0004351471,0.0001584896,0.0009030377,0.00000276852,0.0001526374,0.2615739,0.00000104938,0.700973,0.002453287,0.03310771],"study_design_scores_gemma":[0.000165612,0.00002816832,0.0008941324,0.000008823417,0.001080728,0.000001038084,0.00005726212,0.5258231,4.838872e-7,0.4717284,0.00009701985,0.0001153416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001440509,0.00003346218,0.907192,0.00009460835,0.00006753148,0.0003068944,0.0921106,0.00003082684,0.00002003306],"genre_scores_gemma":[0.0607257,0.000002923495,0.8855808,0.00003283535,0.00004002398,0.00004310119,0.05354254,0.00002250319,0.000009535153],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2642491,"threshold_uncertainty_score":0.8642939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3840304752670732,"score_gpt":0.4281909063231017,"score_spread":0.04416043105602846,"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."}}