{"id":"W2552371782","doi":"10.1002/cjs.11306","title":"Cure rate quantile regression accommodating both finite and infinite survival times","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile regression; Statistics; Covariate; Quantile; Mathematics; Outlier; Estimator; Proportional hazards model; Econometrics; Population; Asymptotic distribution; Regression analysis; Survival analysis; Regression; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01988612,0.0009867436,0.002483122,0.001292668,0.0004878051,0.001455727,0.002876055,0.001470357,0.002714884],"category_scores_gemma":[0.0357263,0.0006129369,0.001944236,0.001867096,0.001262918,0.00194199,0.00203028,0.003738491,0.0006839073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461345,"about_ca_system_score_gemma":0.002118655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056958,"about_ca_topic_score_gemma":0.004162114,"domain_scores_codex":[0.9955745,0.002792128,0.0001407669,0.0006106028,0.0004420438,0.0004399513],"domain_scores_gemma":[0.9811735,0.0143919,0.0013646,0.001439294,0.00139592,0.0002348011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001822069,0.0001027103,0.006465306,0.0001692693,0.0001245184,0.000238189,0.0001829246,0.8501368,0.001691959,0.07710626,0.001731825,0.06186802],"study_design_scores_gemma":[0.00001179742,0.00003002841,0.0007301752,0.00001378316,0.0000219857,0.00003877539,0.00001744943,0.9832032,0.0002983898,0.01490211,0.0007185988,0.00001363055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0147758,0.0004313348,0.9835287,0.0002305297,0.00002996373,0.00005363266,0.0001153858,0.0002269834,0.0006076182],"genre_scores_gemma":[0.7534339,0.001576461,0.2363717,0.0004438068,0.0002075143,0.0004464068,0.0009340225,0.0003700613,0.006216063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01988612,"threshold_uncertainty_score":0.1051691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09984161549464979,"score_gpt":0.3402740112163885,"score_spread":0.2404323957217387,"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."}}