{"id":"W1940841315","doi":"10.1002/bimj.201100037","title":"Bias analysis and the simulation‐extrapolation method for survival data with covariate measurement error under parametric proportional odds models","year":2012,"lang":"en","type":"article","venue":"Biometrical Journal","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariate; Estimator; Observational error; Extrapolation; Econometrics; Statistics; Nominal level; Parametric statistics; Computer science; Proportional hazards model; Errors-in-variables models; Mathematics; Confidence interval","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":[0.02866176,0.001062978,0.001569666,0.00245344,0.0007455557,0.001285234,0.002458446,0.00169674,0.003853573],"category_scores_gemma":[0.1328906,0.0005436279,0.002152858,0.001958703,0.001891007,0.0021848,0.003829448,0.002752599,0.0005881403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198124,"about_ca_system_score_gemma":0.002431691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982108,"about_ca_topic_score_gemma":0.001147614,"domain_scores_codex":[0.9854223,0.01119336,0.0004718938,0.0007472395,0.001871786,0.0002935083],"domain_scores_gemma":[0.8989466,0.08949722,0.003458071,0.004146382,0.003450573,0.0005012226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005865435,0.0001597025,0.01810097,0.0008838351,0.0004640766,0.0009027587,0.0008381052,0.3837821,0.003204235,0.3570012,0.003376951,0.2306994],"study_design_scores_gemma":[0.00007335246,0.0001164185,0.001288407,0.0001677416,0.00007596017,0.0003433569,0.00006243672,0.8619813,0.001482332,0.130767,0.003593752,0.00004795854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004570825,0.000405084,0.9938536,0.0002265989,0.00004562063,0.00008757201,0.00004661972,0.0001662499,0.0005979641],"genre_scores_gemma":[0.3393185,0.00192181,0.652954,0.0005425412,0.0003235934,0.001385548,0.0005888178,0.0002544635,0.002710697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02866176,"threshold_uncertainty_score":0.1515797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5724326153365282,"score_gpt":0.4866075946981945,"score_spread":0.0858250206383337,"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."}}