{"id":"W2034828560","doi":"10.1016/j.jmva.2009.02.007","title":"Asymptotics for non-parametric likelihood estimation with doubly censored multivariate failure times","year":2009,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Censoring (clinical trials); Mathematics; Statistics; Parametric statistics; Consistency (knowledge bases); Econometrics; Nonparametric statistics; Multivariate analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06373446,0.002798766,0.005276602,0.00526224,0.001637278,0.005855032,0.01014575,0.005507919,0.01052894],"category_scores_gemma":[0.3179153,0.002782626,0.003817242,0.004717872,0.0110338,0.01264407,0.00758316,0.0104934,0.001873625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003402126,"about_ca_system_score_gemma":0.003932907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003921819,"about_ca_topic_score_gemma":0.003160566,"domain_scores_codex":[0.976404,0.01568571,0.001131169,0.00207203,0.003877386,0.0008297035],"domain_scores_gemma":[0.6197722,0.343272,0.009697932,0.0170147,0.00839126,0.001851894],"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":[0.0001538529,0.0001117604,0.002240345,0.0004455061,0.0002495693,0.0003200851,0.0006126925,0.08986011,0.0005688261,0.8616155,0.002838646,0.04098324],"study_design_scores_gemma":[0.00005367876,0.00005184606,0.0009429578,0.0001280735,0.00008278224,0.0002337198,0.00008969566,0.4145307,0.0003224091,0.5819312,0.001560331,0.00007263637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003515996,0.000588875,0.994324,0.0003673888,0.00004835689,0.00004119414,0.00006964627,0.000194195,0.0008504415],"genre_scores_gemma":[0.3490544,0.005144592,0.6236078,0.001050622,0.001616535,0.002141539,0.001830328,0.001236174,0.01431809],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06373446,"threshold_uncertainty_score":0.337064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406192173654356,"score_gpt":0.3498397854135701,"score_spread":0.3257778636770265,"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."}}