New tests for trend in time censored recurrent event data
Journal article, Peer reviewed
Published version
Permanent lenke
https://hdl.handle.net/11250/3122427Utgivelsesdato
2024Metadata
Vis full innførselSamlinger
- Institutt for matematiske fag [2353]
- Publikasjoner fra CRIStin - NTNU [37221]
Sammendrag
We consider testing for trend in recurrent event data. More precisely, for such data we consider testing of the null hypothesis of data coming from a renewal process. The new tests are essentially obtained by considering appropriate integrated versions of classical trend tests. Moreover, adaptive versions of earlier considered tests versus non-monotonic alternatives, like bathtub trend, are suggested. A simulation study shows that the new tests have favorable properties and sometimes outperform classical tests. Examples with real data are also considered.