Sample size estimation in diagnostic test studies of biomedical informatics

Journal of Biomedical Informatics

Volumn 48, Issue , 2014, Pages 193-204

  Hajian Tilaki, Karimollah ^a  

^a BABOL UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Area under the curve; Diagnostic studies; ROC analysis; Sample size; Sensitivity; Specificity

Indexed keywords

ESTIMATION; BIOINFORMATICS;

AREA UNDER THE CURVES; DIAGNOSTIC STUDIES; ROC ANALYSIS; SAMPLE SIZES; SENSITIVITY; SPECIFICITY;

SAMPLING;

BIOMEDICINE; CONCEPTUAL FRAMEWORK; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; DIAGNOSTIC TEST; EFFECT SIZE; MATHEMATICAL ANALYSIS; MEDICAL INFORMATICS; PRIORITY JOURNAL; REVIEW; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; AREA UNDER THE CURVE; BIOINFORMATICS; CONFIDENCE INTERVAL; HUMAN; MAXIMUM LIKELIHOOD METHOD; MEASUREMENT ERROR; RECEIVER OPERATING CHARACTERISTIC; RELIABILITY; ALGORITHM; METHODOLOGY; PROCEDURES; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; CONFIDENCE INTERVALS; DIAGNOSTIC TESTS, ROUTINE; HUMANS; LIKELIHOOD FUNCTIONS; MEDICAL INFORMATICS; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; ROC CURVE; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 84899102182     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.02.013     Document Type: Review

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