{"id":"W1968295273","doi":"10.1093/biomet/ast039","title":"Semiparametric estimation for the additive hazards model with left-truncated and right-censored data","year":2013,"lang":"en","type":"article","venue":"Biometrika","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Pfizer Canada; Medical Research Council; Health Canada; National Institute on Aging; National Institute of Allergy and Infectious Diseases; Pfizer","keywords":"Mathematics; Truncation (statistics); Estimator; Pairwise comparison; Statistics; Survival function; Estimating equations; Econometrics; Applied mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005067578,0.0001665517,0.0002471092,0.0003366695,0.0001660712,0.000156632,0.0003451062,0.00008385247,0.0001809565],"category_scores_gemma":[0.004940229,0.00009118945,0.00002222469,0.001101234,0.0001702029,0.0002187749,0.0001091711,0.00009715421,0.00001633286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002854721,"about_ca_system_score_gemma":0.00006258676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005375993,"about_ca_topic_score_gemma":0.000006069193,"domain_scores_codex":[0.998854,0.00004632396,0.000245459,0.0003483034,0.0002568181,0.0002491206],"domain_scores_gemma":[0.9938497,0.005051051,0.0001386663,0.0006185261,0.0002476501,0.0000944347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001040412,0.0002121521,0.0002325643,0.000215316,0.0002577941,0.000002269528,0.0002270677,0.00001717232,0.0004181269,0.2172922,0.04662923,0.7343921],"study_design_scores_gemma":[0.0004502311,0.0001162526,0.001743068,0.00002896971,0.0001141778,0.000007786945,0.00003779012,0.7291459,0.0006342581,0.2671672,0.0003967255,0.0001576655],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003948327,0.0001132759,0.99339,0.0003642046,0.00004613013,0.0009154628,0.0008689096,0.00005842683,0.0002952297],"genre_scores_gemma":[0.1172225,0.00002908657,0.8822678,0.00006083981,0.00003278728,0.00008281636,0.00009652596,0.00002174981,0.0001859104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7342345,"threshold_uncertainty_score":0.5914272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07803763665523032,"score_gpt":0.3663153265472528,"score_spread":0.2882776898920225,"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."}}