Individual dynamic predictions using landmarking and joint modelling: Validation of estimators and robustness assessment

Dynamic predictions using flexible joint models of longitudinal and time-to-event data

(2017) Jessica Barrett et al.   STATISTICS IN MEDICINE

A comparison of risk prediction methods using repeated observations: an application to electronic health records for hemodialysis

(2017) Benjamin A. Goldstein et al.   STATISTICS IN MEDICINE

On longitudinal prediction with time-to-event outcome: Comparison of modeling options

(2016) Marlena Maziarz et al.   BIOMETRICS

Inference for survival prediction under the regularized Cox model

(2016) Jennifer A. Sinnott et al.   BIOSTATISTICS

Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validation

(2016) Mbéry Sène et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A two-stage approach for dynamic prediction of time-to-event distributions

(2016) Xuelin Huang et al.   STATISTICS IN MEDICINE

The use of repeated blood pressure measures for cardiovascular risk prediction: a comparison of statistical models in the ARIC study

(2016) Michael J. Sweeting et al.   STATISTICS IN MEDICINE

Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancer

(2016) Loïc Ferrer et al.   STATISTICS IN MEDICINE

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

(2014) Paul Blanche et al.   BIOMETRICS

Dynamic Pseudo-Observations: A Robust Approach to Dynamic Prediction in Competing Risks

(2013) M. A. Nicolaie et al.   BIOMETRICS

Real-Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models

(2013) Jeremy M. G. Taylor et al.   BIOMETRICS

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

(2011) Dimitris Rizopoulos   BIOMETRICS

Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule

(2011) Dimitris Rizopoulos   COMPUTATIONAL STATISTICS & DATA ANALYSIS

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

Assessing the Performance of Prediction Models

(2009) Ewout W. Steyerberg et al.   EPIDEMIOLOGY

Pseudo-observations in survival analysis

(2009) Per Kragh Andersen et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal Survival–Cure Model

(2008) Menggang Yu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION