{"id":"W2141410053","doi":"10.6000/1929-6029.2013.02.04.6","title":"Modified Kaplan-Meier Estimator Based on Competing Risks for Heavy Censoring Data","year":2013,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censoring (clinical trials); Kaplan–Meier estimator; Estimator; Survival analysis; Statistics; Survival function; Proportional hazards model; Econometrics; Mathematics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01398136,0.0008598489,0.001389364,0.002532324,0.0004036668,0.001048437,0.002169379,0.001198025,0.00236465],"category_scores_gemma":[0.04366107,0.000389145,0.001488193,0.001719068,0.0005037544,0.002141634,0.001271997,0.002025157,0.0004659154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006600589,"about_ca_system_score_gemma":0.001765473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532077,"about_ca_topic_score_gemma":0.001548933,"domain_scores_codex":[0.9916642,0.005832033,0.0004245572,0.0008021945,0.001035866,0.0002411669],"domain_scores_gemma":[0.9782541,0.01713316,0.001639237,0.001342948,0.001399733,0.0002307262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001120989,0.0002716376,0.0459741,0.002054901,0.001833913,0.0009778036,0.001384773,0.1678463,0.005575745,0.1906827,0.01399918,0.568278],"study_design_scores_gemma":[0.0003316207,0.0008462959,0.01641802,0.0003113081,0.0006201159,0.00264528,0.0002731267,0.8087779,0.003631027,0.1399289,0.02594258,0.0002739477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008416375,0.001760297,0.9885278,0.0001907415,0.00007286909,0.0001686685,0.0001917451,0.0002617683,0.0004098064],"genre_scores_gemma":[0.2614358,0.002779912,0.7300919,0.0002384328,0.0003680056,0.001351308,0.001346144,0.0001835955,0.002204837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01398136,"threshold_uncertainty_score":0.07394135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.465653726966659,"score_gpt":0.5860725092309494,"score_spread":0.1204187822642904,"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."}}