Evaluating the improvement in diagnostic utility from adding new predictors

Biometrical Journal

Volumn 52, Issue 3, 2010, Pages 417-435

  Li, Caixia ^a,b   Lu, Ying ^a,c,d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SUN YAT SEN UNIVERSITY   (China)

^c VA PALO ALTO HEALTH CARE SYSTEM   (United States)

^d STANFORD UNIVERSITY   (United States)

Author keywords

Area under ROC curves; Behrens Fisher problem; Non central F distribution; Receiver operating characteristic curve

Indexed keywords

COVARIANCE MATRIX; DIAGNOSIS; ERROR ANALYSIS; INVERSE PROBLEMS; NUMBER THEORY; SAMPLING; STATISTICAL TESTS;

AREA UNDER ROC CURVE; BEHRENS FISHER PROBLEMS; DIAGNOSTIC TESTS; F DISTRIBUTION; NON-CENTRAL F-DISTRIBUTION; RECEIVER OPERATING CHARACTERISTIC CURVES; RISK FACTORS; ROC CURVES; SAMPLE SIZES; TYPE I ERROR RATE;

LINEAR TRANSFORMATIONS;

AGED; AREA UNDER THE CURVE; COMPLICATION; DIAGNOSIS; DISCRIMINANT ANALYSIS; EVALUATION STUDY; FEMALE; HIP ARTHROPLASTY; HIP FRACTURES; HUMAN; MULTIVARIATE ANALYSIS; OSTEOPOROSIS; PATHOPHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; STATISTICAL MODEL;

AGED; AREA UNDER CURVE; ARTHROPLASTY, REPLACEMENT, HIP; DIAGNOSIS; DISCRIMINANT ANALYSIS; FEMALE; HIP FRACTURES; HUMANS; LINEAR MODELS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; OSTEOPOROSIS; RISK FACTORS; ROC CURVE;

EID: 77954514568     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.200900228     Document Type: Article

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