Literature DB >> 26393315

Comparison of multiple hazard rate functions.

Zhongxue Chen1, Hanwen Huang2, Peihua Qiu3.   

Abstract

Many robust tests have been proposed in the literature to compare two hazard rate functions, however, very few of them can be used in cases when there are multiple hazard rate functions to be compared. In this article, we propose an approach for detecting the difference among multiple hazard rate functions. Through a simulation study and a real-data application, we show that the new method is robust and powerful in many situations, compared with some commonly used tests.
© 2015, The International Biometric Society.

Entities:  

Keywords:  Asymptotically independent; Counting process; Crossing; Survival data

Mesh:

Year:  2015        PMID: 26393315      PMCID: PMC5912921          DOI: 10.1111/biom.12412

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  7 in total

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1.  Evaluation of the treatment time-lag effect for survival data.

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2.  A Powerful Variant-Set Association Test Based on Chi-Square Distribution.

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