Loading...
Loading...

Go to the content (press return)

Analysis of interval-censored data: methods, software, and real world examples

Author
Langohr, K.
Type of activity
Presentation of work at congresses
Name of edition
XVII Conferencia Española y VII Encuentro Iberoamericano de Biometría
Date of publication
2019
Presentation's date
2019-06-19
Book of congress proceedings
XVII Conferencia Española de Biometría y VII Encuentro Iberoamericano de Biometría: CEIB-EIB 2019: Valencia, España: junio 1-21, 2019: libro de resúmenes
First page
4
Last page
4
URL
https://adeit-estaticos.econgres.es/2019_CEB/LIBROABSTRACTS_2.pdf Open in new window
Abstract
In time-to-event studies, interval-censored data are encountered whenever the occurrence of the event of interest cannot be observed exactly but only within a time window. Medical examples for such so-called silent events are HIV infection or an immunological markers exceedance over a certain threshold. The adaptation of methods for right-censored data to the analysis of interval-censored data is not straightforward, because for times within the observed intervals, the number of individuals at r...
Keywords
HIV studies, R packages, interval censoring
Group of research
GRBIO - Biostatistics and Bioinformatics Research Group

Participants