Exploring Migration Data Using Interval-Censored Time-to-Event Models

2008 ◽  
Vol 72 (5) ◽  
pp. 1211-1219 ◽  
Author(s):  
John Fieberg ◽  
Glenn Delgiudice
2018 ◽  
Vol 5 (11) ◽  
Author(s):  
Toscane Fourié ◽  
Gilda Grard ◽  
Isabelle Leparc-Goffart ◽  
Sébastien Briolant ◽  
Albin Fontaine

Abstract Zika virus (ZIKV) has recently emerged in numerous tropical countries worldwide. In this study, we estimated ZIKV incubation period distribution using time-to-event models adapted to interval-censored data based on declared date of travels from 123 symptomatic travelers returning from areas with active ZIKV transmission. The median time and 95th percentile of ZIKV incubation period was estimated to 6.8 days (95% confidence interval [CI], 5.8–7.7 days) and 15.4 days (95% CI, 12.7–19.7 days), respectively. Determining the incubation period for ZIKV is beneficial to improve protection guidelines.


2012 ◽  
Vol 31 (23) ◽  
pp. 2588-2609 ◽  
Author(s):  
Matthias Schmid ◽  
Sergej Potapov

2011 ◽  
Vol 53 (1) ◽  
pp. 88-112 ◽  
Author(s):  
Rotraut Schoop ◽  
Jan Beyersmann ◽  
Martin Schumacher ◽  
Harald Binder

2018 ◽  
Vol 18 (3-4) ◽  
pp. 322-345 ◽  
Author(s):  
Moritz Berger ◽  
Matthias Schmid

Abstract: Time-to-event models are a popular tool to analyse data where the outcome variable is the time to the occurrence of a specific event of interest. Here, we focus on the analysis of time-to-event outcomes that are either intrinsically discrete or grouped versions of continuous event times. In the literature, there exists a variety of regression methods for such data. This tutorial provides an introduction to how these models can be applied using open source statistical software. In particular, we consider semiparametric extensions comprising the use of smooth nonlinear functions and tree-based methods. All methods are illustrated by data on the duration of unemployment of US citizens.


2018 ◽  
Vol 101 ◽  
pp. 129-139 ◽  
Author(s):  
Andrea Onofri ◽  
Paolo Benincasa ◽  
Mohsen B. Mesgaran ◽  
Christian Ritz

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