{"id":"W4383269321","doi":"10.1214/23-ejs2133","title":"Uniform confidence bands for hazard functions from censored prevalent cohort survival data","year":2023,"lang":"en","type":"article","venue":"Electronic Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Health Canada; Medical Research Council; Pfizer Canada; Macquarie University; Medical Research Council Canada; McGill University; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Estimator; Mathematics; Hazard ratio; Statistics; Hazard; Consistency (knowledge bases); Nonparametric statistics; Confidence interval; Econometrics; Population; Asymptotic distribution; Mathematical optimization; Applied mathematics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002314473,0.0001878016,0.0005093225,0.0001040643,0.000139412,0.00006348236,0.0006005415,0.0000791893,0.0002973579],"category_scores_gemma":[0.008009547,0.0001589157,0.0000683394,0.0002375382,0.00009766466,0.0001268714,0.0001061961,0.0004608639,0.00002540579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545552,"about_ca_system_score_gemma":0.0006742201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002331223,"about_ca_topic_score_gemma":0.0001101581,"domain_scores_codex":[0.9975784,0.0001465907,0.0008362962,0.0002586795,0.0005528123,0.0006271867],"domain_scores_gemma":[0.9913859,0.006857214,0.000512641,0.0005201054,0.0005703929,0.0001537483],"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":[0.0001861121,0.00009441777,0.001126914,0.00009564063,0.0004268263,0.00002176312,0.0001026953,0.00002224062,0.0002153777,0.9178866,0.06728596,0.0125355],"study_design_scores_gemma":[0.0009348227,0.0006501407,0.00514487,0.00008690645,0.0005120722,0.00002368223,0.0002351376,0.01801256,0.0001117019,0.9651873,0.008882931,0.0002179426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005880846,0.0001581237,0.9863497,0.0002352138,0.0006986904,0.0002776326,0.006140529,0.00003720658,0.0002220661],"genre_scores_gemma":[0.1331355,0.00192767,0.8613039,0.00007502033,0.0008043387,0.00002444304,0.0007380458,0.00008967755,0.001901432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1272546,"threshold_uncertainty_score":0.9588755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213334827919818,"score_gpt":0.3864293838223519,"score_spread":0.2650959010303701,"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."}}