Performance criteria based on true and false classification and clinical outcomes. Influence of analytical performance on diagnostic outcome using a single clinical component

Clinical Chemistry and Laboratory Medicine

Volumn 53, Issue 6, 2015, Pages 849-855

  Petersen, Per Hyltoft ^a,b  

^a UNIVERSITY OF BERGEN   (Norway)

^b NONE   (Denmark)

Author keywords

analytical bias; analytical imprecision; analytical quality specifications; bimodal models; diagnostic misclassifications; unimodal models; use of prevalence; weighting of diseased group

Indexed keywords

CHOLESTEROL; HEMOGLOBIN A1C; GLYCOSYLATED HEMOGLOBIN;

BIMODAL MODEL; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; CONFERENCE PAPER; DIABETES MELLITUS; DISEASE CLASSIFICATION; HUMAN; ISCHEMIC HEART DISEASE; NORMAL DISTRIBUTION; PRIORITY JOURNAL; THEORETICAL MODEL; UNIMODAL MODEL; BLOOD; CLASSIFICATION; COMPLICATION; CORONARY DISEASE; DIABETES MELLITUS, TYPE 2; LABORATORY DIAGNOSIS; RISK FACTOR;

CHOLESTEROL; CORONARY DISEASE; DIABETES MELLITUS, TYPE 2; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; MODELS, THEORETICAL; NORMAL DISTRIBUTION; RISK FACTORS;

EID: 84929076425     PISSN: 14346621     EISSN: 14374331     Source Type: Journal    
DOI: 10.1515/cclm-2014-1138     Document Type: Conference Paper

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