التفاصيل البيبلوغرافية
العنوان: |
Current status data with two competing risks and missing failure types: a parametric approach. |
المؤلفون: |
Koley, Tamalika, Dewanji, Anup |
المصدر: |
Journal of Applied Statistics; Jun2022, Vol. 49 Issue 7, p1769-1783, 15p, 4 Charts |
مصطلحات موضوعية: |
COMPETING risks, DATA analysis |
مستخلص: |
Missing cause of failure is a common problem in competing risks data. Here we consider a general missing pattern in which one observes a set of possible causes containing the true cause. In this work, we focus on the parametric analysis of current status data with two competing risks and the above-mentioned missing pattern. We make some simpler assumptions on the conditional probability of observing a set of possible causes of failure given the true cause and carry out maximum-likelihood estimation of the model parameters. Asymptotic properties of the maximum-likelihood estimators are also discussed. Simulation studies are performed to study the finite sample properties of the estimators and also to investigate the role of the monitoring time distribution. Finally, the method is illustrated through the analysis of a real data set. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Applied Statistics is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
قاعدة البيانات: |
Complementary Index |