Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks

Biometrics

Volumn 71, Issue 1, 2015, Pages 102-113

  Blanche, Paul ^a,b,c   Proust Lima, Cécile ^a,b   Loubère, Lucie ^a,b   Berr, Claudine ^b   Dartigues, Jean François ^a,b   Jacqmin Gadda, Hélène ^a,b  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b INSERM   (France)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Competing risks; Dynamic prediction; Joint model; Longitudinal data; Prediction accuracy

Indexed keywords

INVERSE PROBLEMS; RISK ASSESSMENT; SAMPLING;

AREA UNDER THE ROC CURVE; COMPETING RISKS; DYNAMIC PREDICTION; JOINT MODELS; LONGITUDINAL DATA; PERSONALIZED MEDICINES; PREDICTION ACCURACY; PREDICTIVE ACCURACY; PROGNOSTIC MODELING; TIME TO EVENTS;

FORECASTING;

ACCURACY ASSESSMENT; ELDERLY POPULATION; HEALTH MONITORING; HEALTH RISK; MORTALITY; NUMERICAL MODEL; STATISTICAL ANALYSIS; WOMENS HEALTH;

FRANCE;

COHORT ANALYSIS; COMPUTER SIMULATION; DEMENTIA; HUMAN; MORTALITY; PREVALENCE; PROCEDURES; PSYCHOMETRY; REPRODUCIBILITY; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SURVIVAL ANALYSIS;

COHORT STUDIES; COMPUTER SIMULATION; DEMENTIA; HUMANS; MODELS, STATISTICAL; PREVALENCE; PSYCHOMETRICS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SURVIVAL ANALYSIS;

EID: 84926006939     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12232     Document Type: Article

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