{"id":"W3000162542","doi":"10.1093/aje/161.supplement_1.s89a","title":"354-S: Is it Safe to Omit a Strong but Balanced Covariate from a Proportional Hazards Model?","year":2005,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Covariate; Proportional hazards model; Statistics; Medicine; Econometrics; Demography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1175656,0.001078497,0.002757264,0.001511675,0.001341964,0.002377749,0.002983437,0.005175766,0.008566836],"category_scores_gemma":[0.454672,0.001338159,0.002569595,0.001375612,0.004579075,0.006586158,0.003979251,0.008802659,0.00265834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376403,"about_ca_system_score_gemma":0.004967506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002583326,"about_ca_topic_score_gemma":0.002894621,"domain_scores_codex":[0.9203129,0.06281713,0.004051298,0.002673496,0.009370325,0.0007749215],"domain_scores_gemma":[0.6653736,0.2766564,0.01398823,0.02631835,0.01465472,0.003008732],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004271091,0.0003768509,0.0235878,0.001883716,0.001747506,0.001950233,0.002182015,0.01347982,0.001160347,0.230548,0.3995898,0.3192228],"study_design_scores_gemma":[0.001056334,0.0005323572,0.006434096,0.001272447,0.0008247082,0.001898578,0.0006310853,0.06693421,0.002524557,0.8224648,0.09520684,0.0002199401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01896098,0.003752537,0.6367747,0.3207631,0.01052147,0.0003159162,0.001564476,0.0008564061,0.006490509],"genre_scores_gemma":[0.3500293,0.002895946,0.4713745,0.1448898,0.01330282,0.001271896,0.001203706,0.001103458,0.01392868],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8824344,"threshold_uncertainty_score":0.6217535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.176850872739296,"score_gpt":0.4503368585242968,"score_spread":0.2734859857850008,"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."}}