{"id":"W2057830194","doi":"10.1191/0962280202sm308ra","title":"Using inverse-weighting in cost-effectiveness analysis with censored data","year":2002,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Censoring (clinical trials); Weighting; Statistics; Covariance; Survival analysis; Mathematics; Econometrics; Inverse probability weighting; Duration (music); Medicine; Propensity score matching","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":[0.09669534,0.001921538,0.003185762,0.004253698,0.0005855198,0.002537779,0.002649311,0.002511689,0.001764872],"category_scores_gemma":[0.2550459,0.001035833,0.003204475,0.004348334,0.003108795,0.004103141,0.002181735,0.003660119,0.0004120266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762674,"about_ca_system_score_gemma":0.001719441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002403262,"about_ca_topic_score_gemma":0.001498768,"domain_scores_codex":[0.8966913,0.09000612,0.002698625,0.00352647,0.006428384,0.0006490871],"domain_scores_gemma":[0.7978046,0.1800312,0.007579803,0.0107559,0.003470391,0.0003580756],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007589387,0.0003227246,0.01309011,0.001632062,0.003310714,0.0005740216,0.0008380529,0.2950707,0.00123098,0.3103823,0.002321135,0.3704684],"study_design_scores_gemma":[0.0001790233,0.0002973592,0.003195213,0.0003575135,0.0004483779,0.0002552634,0.0001133539,0.3946435,0.001904447,0.5939139,0.004530862,0.0001612389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009948943,0.001396939,0.9870772,0.0003519559,0.00009463124,0.0002207022,0.00009794899,0.00008721165,0.0007244508],"genre_scores_gemma":[0.3075193,0.002710924,0.6850591,0.0006612195,0.0003321246,0.001767467,0.0004786993,0.0001564641,0.001314747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9033046,"threshold_uncertainty_score":0.51138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8657958110574773,"score_gpt":0.6909467344486384,"score_spread":0.1748490766088389,"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."}}