New tests for trend in time censored recurrent event data
Peer reviewed, Journal article
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Date
2024-01Metadata
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Original version
Lindqvist, B.H., Kvaløy, J.T. (2024) Applied Stochastic Models in Business and Industry. Applied Stochastic Models in Business and Industry 10.1002/asmb.2848Abstract
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.