{"id":"W2952832231","doi":"10.1007/978-3-030-21248-3_8","title":"Nonparametric Regression Estimates Based on Imputation Techniques for Right-Censored Data","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Imputation (statistics); Nonparametric statistics; Computer science; Statistics; Regression; Data mining; Regression analysis; Monte Carlo method; Missing data; Mathematics; Econometrics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01202902,0.00115537,0.002089181,0.001789928,0.0005038476,0.002003165,0.004152811,0.001978929,0.006660134],"category_scores_gemma":[0.05607697,0.001039182,0.002472984,0.003789682,0.001166842,0.003510733,0.001968908,0.005797995,0.003854051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005543034,"about_ca_system_score_gemma":0.000955599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106039,"about_ca_topic_score_gemma":0.001550767,"domain_scores_codex":[0.9928324,0.00453487,0.0003585919,0.0007426413,0.001356445,0.0001750319],"domain_scores_gemma":[0.9774025,0.01643851,0.00110894,0.003151201,0.001789843,0.0001089412],"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":[0.0002001613,0.000172848,0.002188991,0.0007502119,0.0006694193,0.0002672473,0.0002953827,0.1079352,0.003345892,0.2847686,0.02344126,0.5759647],"study_design_scores_gemma":[0.00004233174,0.00007841057,0.001943593,0.0002488316,0.0001463771,0.0004129391,0.00004966097,0.7550517,0.003049819,0.2200733,0.01879809,0.0001050597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002970825,0.0002723989,0.9987329,0.00006362017,0.00005255658,0.000007701355,0.00004527753,0.0001566747,0.0003718266],"genre_scores_gemma":[0.02971436,0.001539068,0.9614818,0.0001999864,0.0003448373,0.0002124143,0.0008595788,0.0004682595,0.005179696],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01202902,"threshold_uncertainty_score":0.06361634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08992688655670976,"score_gpt":0.4083890487795072,"score_spread":0.3184621622227974,"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."}}