scholarly journals Empirical likelihood confidence bands for mean functions of recurrent events with competing risks and a terminal event

2016 ◽  
Vol 20 ◽  
pp. 66-94
Author(s):  
Jean-Yves Dauxois ◽  
Alexis Flesch ◽  
Davit Varron
Keyword(s):  
Competing Risks ◽  
Empirical Likelihood ◽  
Recurrent Events ◽  
Confidence Bands ◽  
Terminal Event

Semiparametric analysis of zero‐inflated recurrent events with a terminal event

2021 ◽  
Author(s):  
Chenchen Ma ◽  
Tao Hu ◽  
Zhantao Lin
Keyword(s):  
Recurrent Events ◽  
Terminal Event ◽  
Semiparametric Analysis

scholarly journals ANALYSIS OF TRIALS WITH MULTI-LEVEL CLUSTERING, RECURRENT EVENTS AND COMPETING RISKS

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 658-658
Author(s):  
H. Allore ◽  
T. Jung ◽  
D. Esserman ◽  
P.N. Peduzzi
Keyword(s):  
Competing Risks ◽  
Recurrent Events ◽  
Multi Level

Objective Bayesian Analysis for Recurrent Events in Presence of Competing Risks

2014 ◽  
Vol 11 (3) ◽  
pp. 265-279 ◽  
Author(s):  
Jiayu Fu ◽  
Yincai Tang ◽  
Qiang Guan
Keyword(s):  
Bayesian Analysis ◽  
Competing Risks ◽  
Recurrent Events

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

scholarly journals Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks

2020 ◽  
pp. 1471082X2093336
Author(s):  
Fan Zhang ◽  
Ming-Hui Chen ◽  
Xiuyu Julie Cong ◽  
Qingxia Chen
Keyword(s):  
Disease Progression ◽  
Competing Risks ◽  
Survival Data ◽  
Marginal Likelihood ◽  
Cox Proportional Hazards Model ◽  
Terminal Event ◽  
Joint Modelling ◽  
Patient Reported ◽  
Longitudinal And Survival Data ◽  
Time Varying Covariates

Longitudinal biomarkers such as patient-reported outcomes (PROs) and quality of life (QOL) are routinely collected in cancer clinical trials or other studies. Joint modelling of PRO/QOL and survival data can provide a comparative assessment of patient-reported changes in specific symptoms or global measures that correspond to changes in survival. Motivated by a head and neck cancer clinical trial, we develop a class of trajectory-based models for longitudinal and survival data with disease progression. Specifically, we propose a class of mixed effects regression models for longitudinal measures, a cure rate model for the disease progression time ([Formula: see text]) and a Cox proportional hazards model with time-varying covariates for the overall survival time ([Formula: see text]) to account for [Formula: see text] and treatment switching. Under the semi-competing risks framework, the disease progression is the non-terminal event, the occurrence of which is subject to a terminal event of death. The properties of the proposed models are examined in detail. Within the Bayesian paradigm, we derive the decompositions of the deviance information criterion (DIC) and the logarithm of the pseudo-marginal likelihood (LPML) to assess the fit of the longitudinal component of the model and the fit of each survival component, separately. We further develop [Formula: see text]DIC as well as [Formula: see text]LPML to determine the importance and contribution of the longitudinal data to the model fit of the [Formula: see text] and [Formula: see text] data.

scholarly journals Computational issues in fitting joint frailty models for recurrent events with an associated terminal event

2020 ◽  
Vol 188 ◽  
pp. 105259
Author(s):  
Gerrit Toenges ◽  
Antje Jahn-Eimermacher
Keyword(s):  
Recurrent Events ◽  
Frailty Models ◽  
Terminal Event

scholarly journals A semiparametric additive rate model for recurrent events with an informative terminal event

Biometrika ◽  
2010 ◽  
Vol 97 (3) ◽  
pp. 699-712 ◽  
Author(s):  
D. Zeng ◽  
J. Cai
Keyword(s):  
Recurrent Events ◽  
Terminal Event ◽  
Rate Model ◽  
Additive Rate Model
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