scholarly journals Two-stage model for multivariate longitudinal and survival data with application to nephrology research

2017 ◽  
Vol 59 (6) ◽  
pp. 1204-1220 ◽  
Author(s):  
Ipek Guler ◽  
Christel Faes ◽  
Carmen Cadarso-Suárez ◽  
Laetitia Teixeira ◽  
Anabela Rodrigues ◽  
...  
Keyword(s):  
Survival Data ◽  
Stage Model ◽  
Two Stage ◽  
Longitudinal And Survival Data

scholarly journals A Two-Stage Approach for Bayesian Joint Models of Longitudinal and Survival Data: Correcting Bias with Informative Prior

Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 50
Author(s):  
Valeria Leiva-Yamaguchi ◽  
Danilo Alvares
Keyword(s):  
Survival Data ◽  
Cox Model ◽  
Sensitivity Analyses ◽  
Simulation Studies ◽  
Joint Models ◽  
Two Stage ◽  
Informative Prior ◽  
Common Term ◽  
Shared Information ◽  
Longitudinal And Survival Data

Joint models of longitudinal and survival outcomes have gained much popularity in recent years, both in applications and in methodological development. This type of modelling is usually characterised by two submodels, one longitudinal (e.g., mixed-effects model) and one survival (e.g., Cox model), which are connected by some common term. Naturally, sharing information makes the inferential process highly time-consuming. In particular, the Bayesian framework requires even more time for Markov chains to reach stationarity. Hence, in order to reduce the modelling complexity while maintaining the accuracy of the estimates, we propose a two-stage strategy that first fits the longitudinal submodel and then plug the shared information into the survival submodel. Unlike a standard two-stage approach, we apply a correction by incorporating an individual and multiplicative fixed-effect with informative prior into the survival submodel. Based on simulation studies and sensitivity analyses, we empirically compare our proposal with joint specification and standard two-stage approaches. The results show that our methodology is very promising, since it reduces the estimation bias compared to the other two-stage method and requires less processing time than the joint specification approach.

Timing of repeated movements: Test of a two-stage model

1997 ◽  
Author(s):  
Saul Sternberg ◽  
Teresa Pantzer
Keyword(s):  
Stage Model ◽  
Two Stage

Nonlinear dynamics of pulsating detonation wave with two-stage chemical kinetics in the shock-attached frame

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Yaroslava E. Poroshyna ◽  
Aleksander I. Lopato ◽  
Pavel S. Utkin
Keyword(s):  
Wave Propagation ◽  
Detonation Wave ◽  
Model Comparison ◽  
Approximation Order ◽  
Transition Regime ◽  
Stage Model ◽  
Two Stage ◽  
One Dimensional ◽  
Kinetics Of ◽  
Detonation Wave Propagation

Abstract The paper contributes to the clarification of the mechanism of one-dimensional pulsating detonation wave propagation for the transition regime with two-scale pulsations. For this purpose, a novel numerical algorithm has been developed for the numerical investigation of the gaseous pulsating detonation wave using the two-stage model of kinetics of chemical reactions in the shock-attached frame. The influence of grid resolution, approximation order and the type of rear boundary conditions on the solution has been studied for four main regimes of detonation wave propagation for this model. Comparison of dynamics of pulsations with results of other authors has been carried out.

scholarly journals Correction to: Identifying resting locations of a small elusive forest carnivore using a two-stage model accounting for GPS measurement error and hidden behavioral states

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Dalton J. Hance ◽  
Katie M. Moriarty ◽  
Bruce A. Hollen ◽  
Russell W. Perry
Keyword(s):  
Measurement Error ◽  
Stage Model ◽  
Two Stage ◽  
Gps Measurement ◽  
Behavioral States

An amendment to this paper has been published and can be accessed via the original article.

Two-stage model for estimating the spatiotemporal distribution of hourly PM1.0 concentrations over central and east China

2019 ◽  
Vol 675 ◽  
pp. 658-666 ◽  
Author(s):  
Wei Wang ◽  
Feiyue Mao ◽  
Bin Zou ◽  
Jianping Guo ◽  
Lixin Wu ◽  
...  
Keyword(s):  
Spatiotemporal Distribution ◽  
East China ◽  
Stage Model ◽  
Two Stage

Emotion Expressions

2011 ◽  
Vol 20 (6) ◽  
pp. 407-408 ◽  
Author(s):  
Azim F. Shariff ◽  
Jessica L. Tracy
Keyword(s):  
Historical Perspective ◽  
Empirical Work ◽  
Stage Model ◽  
Two Stage ◽  
Cultural Symbols ◽  
Expression Of Emotions ◽  
Complete Story

We appreciate Barrett’s (2011, this issue) comments and her discussion of how our two-stage model is and is not consistent with Darwin’s views on the evolution of emotion expressions. Like many pioneering books, Darwin’s The Expression of Emotions in Man and Animals represents a flurry of novel and revolutionary, yet often inconsistent, ideas, which lend themselves to different readings. However, while the historical perspective Barrett provides is useful, the scientific conversation on emotion expressions has evolved since Darwin. Here, we briefly discuss why the two alternative explanations Barrett offers for the origins of emotion expressions—expressions as cultural symbols and/or as evolutionary byproducts—are both untenable in light of existing research. We also note that although evidence for our two-stage model is currently incomplete, our goal was not to tell a complete story. Instead, we sought to offer the best emerging explanation for the existing research and provide a path for future empirical work that can test it.

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