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Psychological Assessment|October 23, 2025
Predicting dropout in intensive longitudinal data: Extending the joint model for autocorrelated dataFridtjof Petersen, Laura F Bringmann, Dimitris RizopoulosThe British Journal of Mathematical and Statistical Psychology|January 14, 2026
Comparing training window selection methods for prediction in non-stationary time seriesFridtjof Petersen, Jonas M B Haslbeck, Jorge N Tendeiro, et al.Biometrics|February 11, 2011
Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event dataDimitris RizopoulosThe British Journal of Mathematical and Statistical Psychology|May 31, 2007
Generalized latent variable models with non-linear effectsDimitris Rizopoulos, Irini MoustakiStatistical Methods in Medical Research|January 15, 2014
Introduction to the special issue on joint modelling techniquesDimitris Rizopoulos, Emmanuel LesaffreStatistics in Medicine|February 22, 2011
A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-eventDimitris Rizopoulos, Pulak GhoshCurrent Opinion in Psychology|April 16, 2021
Person-specific networks in psychopathology: Past, present, and futureLaura F BringmannStatistics in Medicine|July 8, 2016
Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structuresEleni-Rosalina Andrinopoulou, Dimitris RizopoulosStatistics in Medicine|January 25, 2024
Optimizing dynamic predictions from joint models using super learningDimitris Rizopoulos, Jeremy M G TaylorStatistics in Medicine|September 2, 2006
Power and sample size calculations for discrete bounded outcome scoresRoula Tsonaka, Dimitris Rizopoulos, Emmanuel LesaffrePageof 26