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International Journal of Epidemiology|March 17, 2021
Reflection on modern methods: Dynamic prediction using joint models of longitudinal and time-to-event dataEleni-Rosalina Andrinopoulou, Michael O Harhay, Sarah J Ratcliffe, et al.
Statistics in Medicine|March 29, 2014
Joint modeling of two longitudinal outcomes and competing risk dataEleni-Rosalina Andrinopoulou, Dimitris Rizopoulos, Johanna J M Takkenberg, et al.
Pharmaceutical Statistics|July 30, 2020
MMRM vs joint modeling of longitudinal responses and time to study drug discontinuation in clinical trials using a "de jure" estimandAlberto García-Hernandez, Teresa Pérez, María Del Carmen Pardo, et al.
Lifetime Data Analysis|November 25, 2020
Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomesKhurshid Alam, Arnab Maity, Sanjoy K Sinha, et al.
Statistics in Medicine|November 1, 2019
Individualized dynamic prediction of survival with the presence of intermediate eventsGrigorios Papageorgiou, Mostafa M Mokhles, Johanna J M Takkenberg, et al.
Pharmaceutical Statistics|November 8, 2023
An illness-death multistate model to implement delta adjustment and reference-based imputation with time-to-event endpointsAlberto García-Hernandez, Teresa Pérez, María Del Carmen Pardo, et al.
Biometrika|May 17, 2023
A multiplicative structural nested mean model for zero-inflated outcomesMiao Yu, Wenbin Lu, Shu Yang, et al.
Journal of Empirical Finance|May 24, 2016
Modelling household finances: A Bayesian approach to a multivariate two-part modelSarah Brown, Pulak Ghosh, Li Su, et al.
Journal of Applied Statistics|February 6, 2026
Optimizing personalized screening intervals for clinical biomarkers using extended joint modelsNobuhle Nokubonga Mchunu, Henry Mwambi, Tarylee Reddy, et al.
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