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- W1994449009 abstract "Joint Inference for Competing Risks Survival Data Gang Li Department of Biostatistics, University of California, Los Angeles and Qing Yang ∗ School of Nursing, Duke University Abstract This paper develops joint inferential methods for the cause specific hazard function and the cumulative incidence function of a specific type of failure to assess the effects of a variable on the time to the type of failure of interest in the presence of competing risks. Joint inference for the two functions are needed in practice because 1) they describe different characteristics of a given type of failure, 2) they do not uniquely determine each other, and 3) the effects of a variable on the two functions can be different and one often does not know which effects are to be expected. We study both the group comparison problem and the regression problem. We also discuss joint inference for other related functions. Our simulation shows that our joint tests can be considerably more powerful than the Bonferroni method, which has important practical implications to the analysis and design of clinical studies with competing risks data. We illustrate our method using a Hodgkin disease data and a lymphoma data. Supplementary materials for this article are available online. Keywords: Cause-Specific Hazard; Censoring; Cumulative Incidence; Cox’s Model; Log- rank Test; Sub-distribution Hazard. Gang Li is Professor, Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA 90095 (e-mail: vli@ulca.edu). Qing Yang is Assistant Professor, School of Nursing, Duke University, Durham, NC 27710 (e-mail: qing.yang@duke.edu). Gang Li’s work was partially supported by NIH grant 5P30CA-16042 and NIH grant 8UL1TR000124. The authors thank the co-editor, the associate editor, and the two anonymous referees for their valuable comments that helped improve this article significantly." @default.
- W1994449009 created "2016-06-24" @default.
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- W1994449009 date "2014-01-01" @default.
- W1994449009 modified "2023-09-24" @default.
- W1994449009 title "Joint Inference for Competing Risk Data" @default.
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