On Competing Risks with Masked Failures

Isha Dewan () and Uttara Naik-Nimbalkar ()
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Isha Dewan: Indian Statistical Institute, Theoretical Statistics and Mathematics Unit
Uttara Naik-Nimbalkar: Indian Institute of Science Education and Research (IISER), Department of Mathematics

Chapter Chapter 13 in Mathematical and Statistical Applications in Life Sciences and Engineering, 2017, pp 257-281 from Springer

Abstract: Abstract Competing risks data arise when the study units are exposed to several risks at the same time but it is assumed that the eventual failure of a unit is due to only one of these risks, which is called the “cause of failure”. Statistical inference procedures when the time to failure and the cause of failure are observed for each unit are well documented. In some applications, it is possible that the cause of failure is either missing or masked for some units. In this article, we review some statistical inference procedures used when the cause of failure is missing or masked for some units.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-5370-2_13

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DOI: 10.1007/978-981-10-5370-2_13

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