{"id":"W4389765971","doi":"10.1177/09622802231215804","title":"Privacy-preserving analysis of time-to-event data under nested case-control sampling","year":2023,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Nested case-control study; Pooling; Computer science; Estimator; Event (particle physics); Data mining; Covariate; Sampling (signal processing); Statistics; Proportional hazards model; Regression analysis; Econometrics; Cohort; Machine learning; Artificial intelligence; Mathematics","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":[0.03639036,0.001264772,0.001848272,0.001306012,0.0008228214,0.001922799,0.003650389,0.001278139,0.001900394],"category_scores_gemma":[0.100443,0.001053563,0.002011382,0.001560198,0.003080718,0.002735875,0.003437563,0.002487453,0.0003578393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285515,"about_ca_system_score_gemma":0.002718968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002694584,"about_ca_topic_score_gemma":0.001550589,"domain_scores_codex":[0.9808236,0.01217358,0.0008435112,0.002785537,0.002687671,0.0006860867],"domain_scores_gemma":[0.8821037,0.0941945,0.007284076,0.01222862,0.002996892,0.001192136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00102195,0.0002556781,0.02193778,0.0004561695,0.0006490371,0.001965443,0.001000656,0.6529627,0.004303678,0.2207844,0.002903977,0.09175847],"study_design_scores_gemma":[0.00006024109,0.00009806728,0.001291192,0.00002165536,0.00005566159,0.0002297915,0.00004581332,0.9063551,0.001320785,0.08973726,0.0007618167,0.0000224864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01655736,0.0002126088,0.9819264,0.000321321,0.00002721011,0.0001142666,0.0003046224,0.0001919935,0.0003442478],"genre_scores_gemma":[0.6968136,0.0009040234,0.2961054,0.0005123641,0.0002754556,0.0008397407,0.001998845,0.0001204429,0.002430113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03639036,"threshold_uncertainty_score":0.1924528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2942854117384738,"score_gpt":0.5638527579653154,"score_spread":0.2695673462268416,"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."}}