{"id":"W4384406223","doi":"10.1007/s00180-023-01389-7","title":"A new approach to modeling the cure rate in the presence of interval censored data","year":2023,"lang":"en","type":"article","venue":"Computational Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Covariate; Statistics; Expectation–maximization algorithm; Population; Interval (graph theory); Mathematics; Proportional hazards model; Mixture model; Computer science; Econometrics; Maximum likelihood; Medicine","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":[0.01507234,0.001587463,0.00326058,0.003387046,0.0007974735,0.003679423,0.007380622,0.003937296,0.004651735],"category_scores_gemma":[0.05161847,0.00167616,0.003268288,0.00313247,0.003098801,0.005625267,0.003081485,0.006821641,0.0009586077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806594,"about_ca_system_score_gemma":0.002399179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00425153,"about_ca_topic_score_gemma":0.003108976,"domain_scores_codex":[0.9935443,0.00368911,0.00027596,0.001154308,0.0009885608,0.0003476817],"domain_scores_gemma":[0.961589,0.03243216,0.002156005,0.001871107,0.001300188,0.0006516946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001167627,0.0001137354,0.002401822,0.0002202873,0.0002128934,0.0002538332,0.0003106959,0.4775958,0.0006167004,0.4848455,0.003005418,0.03030651],"study_design_scores_gemma":[0.00002034001,0.00002706897,0.0001831677,0.00002946427,0.00004028629,0.0001285957,0.00001459398,0.8790212,0.0001020122,0.1190113,0.001396635,0.0000253165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001972198,0.0002918783,0.9966239,0.0004096852,0.00006145943,0.00002011125,0.0000892419,0.00005890525,0.0004727247],"genre_scores_gemma":[0.3034155,0.00401642,0.6715451,0.001432438,0.001823127,0.0009132376,0.001106823,0.000345091,0.01540222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01507234,"threshold_uncertainty_score":0.07971108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410072526692567,"score_gpt":0.4296029690732471,"score_spread":0.1885957164039904,"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."}}