Introduction to the special issue on joint modelling techniques

The analysis of multivariate longitudinal data: A review

(2012) Geert Verbeke et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

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

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

Dropout in crossover and longitudinal studies: Is complete case so bad?

(2012) John NS Matthews et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: Sequential trials, random sample sizes, and missing data

(2012) Geert Molenberghs et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Which individuals make dropout informative?

(2012) Ronald B Geskus   STATISTICAL METHODS IN MEDICAL RESEARCH

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

(2011) Dimitris Rizopoulos   BIOMETRICS

A review of multivariate longitudinal data analysis

(2010) S. Bandyopadhyay et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

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

Missing data methods in longitudinal studies: a review

(2009) Joseph G. Ibrahim et al.   TEST