{"id":"W1984151175","doi":"10.1002/sim.1271","title":"Dealing with competing risks: testing covariates and calculating sample size","year":2002,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Covariate; Statistics; Econometrics; Proportional hazards model; Event (particle physics); Sample size determination; Hazard; Hazard ratio; Mathematics; Computer science; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.195556,0.001333188,0.004116434,0.004352157,0.001227853,0.002621539,0.004428426,0.004042477,0.003243909],"category_scores_gemma":[0.5930189,0.001097009,0.002014334,0.003113124,0.004133275,0.004314499,0.00329939,0.003601785,0.0006929388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093231,"about_ca_system_score_gemma":0.00316433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115244,"about_ca_topic_score_gemma":0.000797216,"domain_scores_codex":[0.7819552,0.1864293,0.009158815,0.006085968,0.0157307,0.0006399462],"domain_scores_gemma":[0.4364069,0.5271728,0.007892489,0.02070084,0.006847311,0.0009796765],"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":[0.002000422,0.0005225403,0.03462187,0.00267127,0.001496842,0.0009975259,0.002350959,0.02609785,0.003439889,0.1281892,0.01259037,0.7850214],"study_design_scores_gemma":[0.002052616,0.005123013,0.01842691,0.001985064,0.0008646724,0.002447074,0.0007929351,0.1826822,0.01048395,0.7357814,0.03901618,0.0003441062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008258816,0.001060134,0.9839581,0.00182653,0.0003674194,0.002893297,0.0002646069,0.0003788917,0.0009922339],"genre_scores_gemma":[0.07138734,0.0007236675,0.9116518,0.0007668264,0.0003030929,0.01421479,0.0003455789,0.0001525091,0.0004543992],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.195556,"threshold_uncertainty_score":0.9920227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6075631836183745,"score_gpt":0.5529054365405092,"score_spread":0.0546577470778653,"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."}}