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

JM: AnRPackage for the Joint Modelling of Longitudinal and Time-to-Event Data

(2015) Dimitris Rizopoulos   Journal of Statistical Software

Choice of Estimators Based on Different Observations: Modified AIC and LCV Criteria

(2010) BENOIT LIQUET et al.   SCANDINAVIAN JOURNAL OF STATISTICS

Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model

(2009) Hélène Jacqmin-Gadda et al.   BIOMETRICS

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

Estimating a difference of Kullback–Leibler risks using a normalized difference of AIC

(2008) D. Commenges et al.   Annals of Applied Statistics

Determinants of Change in Prostate-Specific Antigen Over Time and Its Association With Recurrence After External Beam Radiation Therapy for Prostate Cancer in Five Large Cohorts

(2008) Cécile Proust-Lima et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

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

(2007) R. Schoop et al.   BIOMETRICS