Prediction of coronary artery disease risk based on multiple longitudinal biomarkers

Statistics in Medicine

Volumn 35, Issue 8, 2016, Pages 1299-1314

  Yang, Lili ^a   Yu, Menggang ^b   Gao, Sujuan ^c  

^a ELI LILLY AND COMPANY   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^c INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

AARD; AUC; Joint models; MRD; Multiple longitudinal outcomes; Prediction; Time to event outcome

Indexed keywords

ARTICLE; BLOOD PRESSURE; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CLINICAL PRACTICE; COHORT ANALYSIS; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DIASTOLIC BLOOD PRESSURE; DISEASE MARKER; FOLLOW UP; HUMAN; INTERMETHOD COMPARISON; LONGITUDINAL MODEL; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; PRACTICE GUIDELINE; PREDICTION; PRIMARY MEDICAL CARE; SIMULATION; SURVIVAL MODEL; SYSTOLIC BLOOD PRESSURE; AGED; BAYES THEOREM; BIOSTATISTICS; COMPUTER SIMULATION; LONGITUDINAL STUDY; MALE; MIDDLE AGED; MONTE CARLO METHOD; PATHOPHYSIOLOGY; PREDICTIVE VALUE; PRIMARY HEALTH CARE; RISK FACTOR; STATISTICAL MODEL; SURVIVAL ANALYSIS; TIME FACTOR;

BIOLOGICAL MARKER;

AGED; BAYES THEOREM; BIOMARKERS; BIOSTATISTICS; BLOOD PRESSURE; COHORT STUDIES; COMPUTER SIMULATION; CORONARY ARTERY DISEASE; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MODELS, STATISTICAL; MONTE CARLO METHOD; PREDICTIVE VALUE OF TESTS; PRIMARY HEALTH CARE; RISK FACTORS; SURVIVAL ANALYSIS; TIME FACTORS;

EID: 84959423087     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6754     Document Type: Article

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