{"id":"W2169649310","doi":"10.1002/sim.2892","title":"Accelerated failure time models with covariates subject to measurement error","year":2007,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariate; Observational error; Estimator; Econometrics; Statistics; Proportional hazards model; Extrapolation; Computer science; Errors-in-variables models; Accelerated failure time model; Data set; Mathematics","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":[0.04343418,0.002095004,0.00411573,0.002818577,0.001133226,0.002878809,0.005720396,0.003645009,0.004576277],"category_scores_gemma":[0.1039243,0.001599187,0.003259308,0.004121236,0.003290628,0.003749419,0.003959072,0.005200068,0.001199983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016518,"about_ca_system_score_gemma":0.003021044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007541768,"about_ca_topic_score_gemma":0.004178435,"domain_scores_codex":[0.979752,0.0140391,0.0007908915,0.002092152,0.002343728,0.0009821171],"domain_scores_gemma":[0.8790699,0.09782225,0.01121637,0.006158236,0.004793033,0.0009402565],"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":[0.0002591737,0.0001144057,0.009864296,0.0004099413,0.0004220329,0.0007396145,0.0008000602,0.5062264,0.0005514445,0.4396531,0.00227849,0.03868098],"study_design_scores_gemma":[0.000132908,0.0001663923,0.001707091,0.0001006842,0.0001258926,0.0002067637,0.00005633703,0.7587271,0.0002251937,0.2353535,0.003128067,0.0000700841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02290612,0.001008859,0.9733067,0.0008671727,0.0001702744,0.0001367848,0.0002945133,0.0002408221,0.001068879],"genre_scores_gemma":[0.6486276,0.005538706,0.3179315,0.0007227941,0.001102232,0.001980622,0.001823887,0.0002307631,0.02204188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04343418,"threshold_uncertainty_score":0.2297046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287851618687031,"score_gpt":0.3988254230784903,"score_spread":0.2700402612097873,"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."}}