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

Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks

(2013) Paul Blanche et al.   STATISTICS IN MEDICINE

Choice of Prognostic Estimators in Joint Models by Estimating Differences of Expected Conditional Kullback-Leibler Risks

(2012) Daniel Commenges et al.   BIOMETRICS

Landmark Prediction of Long-Term Survival Incorporating Short-Term Event Time Information

(2012) Layla Parast et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Joint latent class models for longitudinal and time-to-event data: A review

(2012) Cécile Proust-Lima et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Quantifying the predictive accuracy of time-to-event models in the presence of competing risks

(2011) Rotraut Schoop et al.   BIOMETRICAL JOURNAL

Evaluating Prognostic Accuracy of Biomarkers under Competing Risk

(2011) Yingye Zheng et al.   BIOMETRICS

Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data

(2011) Dimitris Rizopoulos   BIOMETRICS

Report of the task force on designing clinical trials in early (predementia) AD

(2010) P. S. Aisen et al.   NEUROLOGY

Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach

(2009) C. Proust-Lima et al.   BIOSTATISTICS

Prodromal Alzheimer's disease: Successive emergence of the clinical symptoms

(2008) Hélène Amieva et al.   ANNALS OF NEUROLOGY

Quantifying the Predictive Performance of Prognostic Models for Censored Survival Data with Time-Dependent Covariates

(2007) R. Schoop et al.   BIOMETRICS