Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure
نویسندگان
چکیده
منابع مشابه
Identification in Accelerated Failure Time Competing Risks
We provide new conditions for identification in accelerated failure time competing risks models. In our model, we specify unknown regression functions and the joint survivor function of latent disturbance terms nonparametrically. We show that the model can be identified with covariates that are independent of latent errors, provided that certain rank conditions are satisfied. We present a simpl...
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Approved: Thesis Supervisor Title and Department
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Competing risks data arise when study subjects may experience several different types of failure. It is common that the cause of failure is missing due to various reasons. Analysis of competing risks data with missing cause of failure has received considerable attention recently (Goetghebeur and Ryan (1995), Lu and Tsiatis (2001), Gao and Tsiatis (2005), among others). In this article, we study...
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We provide new conditions for identi cation of accelerated failure time competing risks models. These include Roy models and some auction models. In our set up, unknown regression functions and the joint survivor function of latent disturbance terms are all nonparametric. We show that this model is identi ed given covariates that are independent of latent errors, provided that a certain rank co...
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ژورنال
عنوان ژورنال: Statistica Sinica
سال: 2018
ISSN: 1017-0405
DOI: 10.5705/ss.202016.0231