Methods for Handling Missing Variables in Risk Prediction Models

American Journal of Epidemiology

Volumn 184, Issue 7, 2016, Pages 545-551

  Held, Ulrike ^a   Kessels, Alfons ^a   Garcia Aymerich, Judith ^a   Basaganã, Xavier ^a   Ter Riet, Gerben ^a   Moons, Karel G M ^a   Puhan, Milo A ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

COPD; decision support techniques; logistic models; Meta Analysis; missing data; validation studies

Indexed keywords

AIRFLOW; CALIBRATION; COHORT ANALYSIS; DATA SET; DECISION SUPPORT SYSTEM; META-ANALYSIS; MODEL VALIDATION; MORTALITY; PREDICTION; REGRESSION ANALYSIS; RESPIRATORY DISEASE; RISK ASSESSMENT; SPATIOTEMPORAL ANALYSIS;

AGE; AGED; AIRWAY OBSTRUCTION; ARTICLE; BENCHMARKING; CALIBRATION; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLINICAL PRACTICE; COHORT ANALYSIS; CONTROLLED STUDY; DYSPNEA; EUROPE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MORTALITY; PATIENT CODING; PREDICTION; PREDICTOR VARIABLE; PUBLICATION; RISK; SOUTH AND CENTRAL AMERICA; UNITED STATES; VALIDATION STUDY; VIGNETTE; EPIDEMIOLOGY; PROCEDURES; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RISK ASSESSMENT; THEORETICAL MODEL;

EUROPE; LATIN AMERICA; UNITED STATES;

COHORT STUDIES; CONFOUNDING FACTORS (EPIDEMIOLOGY); FEMALE; HUMANS; MALE; MODELS, THEORETICAL; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RISK ASSESSMENT;

EID: 84994106380     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwv346     Document Type: Article

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