Bias and Its Remedy in Interval-Censored Time-to-Event Applications

2012 ◽  
pp. 339-356
Keyword(s):  
Time To Event ◽  
Interval Censored

scholarly journals Interval-censored time-to-event and competing risk with death: is the illness-death model more accurate than the Cox model?

2013 ◽  
Vol 42 (4) ◽  
pp. 1177-1186 ◽  
Author(s):  
Karen Leffondré ◽  
Célia Touraine ◽  
Catherine Helmer ◽  
Pierre Joly
Keyword(s):  
Cox Model ◽  
Competing Risk ◽  
Time To Event ◽  
Interval Censored

Marginalized models for right-truncated and interval-censored time-to-event data

2019 ◽  
Vol 29 (6) ◽  
pp. 1043-1067
Author(s):  
Sammy Chebon ◽  
Christel Faes ◽  
Ann De Smedt ◽  
Helena Geys
Keyword(s):  
Event Data ◽  
Time To Event ◽  
Time To Event Data ◽  
Interval Censored ◽  
Marginalized Models

scholarly journals Variability of Zika Virus Incubation Period in Humans

2018 ◽  
Vol 5 (11) ◽  
Author(s):  
Toscane Fourié ◽  
Gilda Grard ◽  
Isabelle Leparc-Goffart ◽  
Sébastien Briolant ◽  
Albin Fontaine
Keyword(s):  
Confidence Interval ◽  
Incubation Period ◽  
Median Time ◽  
Censored Data ◽  
Zika Virus ◽  
Time To Event ◽  
Tropical Countries ◽  
Period Distribution ◽  
Interval Censored ◽  
Event Models

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.

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