{"id":"W2091242733","doi":"10.2147/ceor.s31552","title":"Techniques for estimating health care costs with censored data: an overview for the health services researcher","year":2012,"lang":"en","type":"article","venue":"ClinicoEconomics and Outcomes Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Estimator; Activity-based costing; Censoring (clinical trials); Medicine; Statistics; Health care; Health economics; Sample (material); Econometrics; Actuarial science; Mathematics; Economics; Public health; Business; Marketing; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.08295837,0.002750736,0.004437989,0.01966517,0.0009120864,0.005301442,0.005606755,0.00533918,0.002017948],"category_scores_gemma":[0.2178134,0.002403031,0.008072886,0.01788308,0.006291786,0.009470761,0.002862537,0.01134223,0.001101489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006736153,"about_ca_system_score_gemma":0.007841798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267694,"about_ca_topic_score_gemma":0.006762124,"domain_scores_codex":[0.9150734,0.06198262,0.00669291,0.002423343,0.01322106,0.0006066826],"domain_scores_gemma":[0.7328437,0.2359279,0.007235269,0.006328687,0.0171448,0.0005195799],"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":[0.000202724,0.0003060442,0.009807468,0.01626304,0.002456988,0.0002791767,0.001063277,0.02531892,0.0003056588,0.1602918,0.03719988,0.7465051],"study_design_scores_gemma":[0.0002636156,0.0007832195,0.0142314,0.03043867,0.001659955,0.001988796,0.001383104,0.09332601,0.001441107,0.5753817,0.2782531,0.0008493608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001091736,0.4614025,0.5126219,0.02024595,0.001571693,0.0004953846,0.0003631229,0.0002301019,0.001977637],"genre_scores_gemma":[0.02042822,0.5180984,0.4483364,0.004006265,0.005866267,0.001585844,0.0004681011,0.0002415872,0.0009689486],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08295837,"threshold_uncertainty_score":0.438731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7588877606600927,"score_gpt":0.6583699927180167,"score_spread":0.100517767942076,"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."}}