Identifying Subjects Who Benefit from Additional Information for Better Prediction of the Outcome Variables

Biometrics

Volumn 65, Issue 3, 2009, Pages 894-902

  Tian, L ^a   Cai, T ^b   Wei, L J ^b  

^a NORTHWESTERN UNIVERSITY   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

Biomarker; Cardiovascular events, Diagnosis; K fold crossvalidation; Prediction accuracy; Subgroup analysis

Indexed keywords

DECISION MAKING; DIAGNOSIS;

CARDIOVASCULAR EVENT; CARDIOVASCULAR EVENT, DIAGNOSE; CLASSIFIEDS; CLINICAL OUTCOME; CROSS VALIDATION; HEALTH OUTCOMES; K-FOLD CROSSVALIDATION; POINT ESTIMATE; PREDICTION ACCURACY; SUBGROUP ANALYSE;

FORECASTING;

BIOMARKER; IDENTIFICATION METHOD; MEASUREMENT METHOD; PREDICTION;

ARTICLE; CONFIDENCE INTERVAL; COST BENEFIT ANALYSIS; DIAGNOSTIC VALUE; LOGISTIC REGRESSION ANALYSIS; MEDICAL DECISION MAKING; OUTCOME VARIABLE; PREDICTION; RISK ASSESSMENT; SAMPLING ERROR; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

BIOLOGICAL MARKERS; BIOMETRY; DATA INTERPRETATION, STATISTICAL; EFFECT MODIFIERS (EPIDEMIOLOGY); ENDPOINT DETERMINATION; HUMANS; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT SELECTION; TREATMENT OUTCOME;

EID: 70349231358     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01125.x     Document Type: Article

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