scholarly journals Joint modeling of recurrent events and a terminal event adjusted for zero inflation and a matched design

2018 ◽  
Vol 37 (18) ◽  
pp. 2771-2786
Author(s):  
Cong Xu ◽  
Vernon M. Chinchilli ◽  
Ming Wang
Keyword(s):  
Recurrent Events ◽  
Joint Modeling ◽  
Terminal Event ◽  
Zero Inflation ◽  
Matched Design

scholarly journals Joint modeling of multiple repeated measures and survival data using multidimensional latent trait linear mixed model

2018 ◽  
Vol 28 (10-11) ◽  
pp. 3392-3403 ◽  
Author(s):  
Jue Wang ◽  
Sheng Luo
Keyword(s):  
Survival Data ◽  
Repeated Measures ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Proportional Hazards Model ◽  
Latent Trait ◽  
Joint Modeling ◽  
Fine Motor ◽  
Terminal Event ◽  
Longitudinal Outcomes

Impairment caused by Amyotrophic lateral sclerosis (ALS) is multidimensional (e.g. bulbar, fine motor, gross motor) and progressive. Its multidimensional nature precludes a single outcome to measure disease progression. Clinical trials of ALS use multiple longitudinal outcomes to assess the treatment effects on overall improvement. A terminal event such as death or dropout can stop the follow-up process. Moreover, the time to the terminal event may be dependent on the multivariate longitudinal measurements. In this article, we develop a joint model consisting of a multidimensional latent trait linear mixed model (MLTLMM) for the multiple longitudinal outcomes, and a proportional hazards model with piecewise constant baseline hazard for the event time data. Shared random effects are used to link together two models. The model inference is conducted using a Bayesian framework via Markov chain Monte Carlo simulation implemented in Stan language. Our proposed model is evaluated by simulation studies and is applied to the Ceftriaxone study, a motivating clinical trial assessing the effect of ceftriaxone on ALS patients.

scholarly journals Joint modeling of interval counts of recurrent events and death

2020 ◽  
Author(s):  
Marie Böhnstedt ◽  
Hein Putter ◽  
Aleksandra Dańko ◽  
Maciej J. Dańko ◽  
Jutta Gampe
Keyword(s):  
Recurrent Events ◽  
Joint Modeling

Joint model for left-censored longitudinal data, recurrent events and terminal event: Predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000-05 trial

Biometrics ◽  
2016 ◽  
Vol 72 (3) ◽  
pp. 907-916 ◽  
Author(s):  
Agnieszka Król ◽  
Loïc Ferrer ◽  
Jean-Pierre Pignon ◽  
Cécile Proust-Lima ◽  
Michel Ducreux ◽  
...  
Keyword(s):  
Longitudinal Data ◽  
Recurrent Events ◽  
Joint Model ◽  
Tumor Burden ◽  
Terminal Event ◽  
Cancer Evolution

Modeling marginal features in studies of recurrent events in the presence of a terminal event

2019 ◽  
Vol 25 (4) ◽  
pp. 681-695 ◽  
Author(s):  
Per Kragh Andersen ◽  
Jules Angst ◽  
Henrik Ravn
Keyword(s):  
Recurrent Events ◽  
Terminal Event
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