{"id":"W1547093648","doi":"10.1002/sta4.42","title":"Quantile regression analysis of length‐biased survival data","year":2014,"lang":"en","type":"article","venue":"Stat","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Covariate; Statistics; Censoring (clinical trials); Econometrics; Estimator; Quantile regression; Quantile; Population; Regression analysis; Asymptotic distribution; Mathematics; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01724229,0.0004834597,0.0008933022,0.001589083,0.0003432589,0.0006887413,0.001543385,0.0007710992,0.001981478],"category_scores_gemma":[0.05951877,0.0002992013,0.0008224346,0.002124942,0.0008573855,0.0009261637,0.001070862,0.001251715,0.0002692835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033877,"about_ca_system_score_gemma":0.001097627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220619,"about_ca_topic_score_gemma":0.006502498,"domain_scores_codex":[0.9945073,0.003903887,0.000199455,0.000510503,0.0006093216,0.0002695766],"domain_scores_gemma":[0.9608558,0.03062694,0.003368696,0.002860034,0.002066729,0.0002218016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003907402,0.0001181727,0.1025964,0.0004948853,0.0007389996,0.0008477631,0.0006803934,0.5525552,0.004136728,0.1184023,0.004559795,0.2144787],"study_design_scores_gemma":[0.00003124126,0.00006143763,0.01774125,0.00006531003,0.00006600694,0.0001185891,0.00007955665,0.9342356,0.00124518,0.04445422,0.001870003,0.00003161296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08343087,0.0009049235,0.9138228,0.0003404078,0.00002961518,0.00005933317,0.0005202561,0.0003754119,0.0005163543],"genre_scores_gemma":[0.8866029,0.0008358618,0.1092732,0.000153155,0.00007056235,0.0001570264,0.001250394,0.0001360278,0.001520744],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01724229,"threshold_uncertainty_score":0.09118706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.263199802400526,"score_gpt":0.465014255199343,"score_spread":0.201814452798817,"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."}}