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A test for comparing current status survival data with crossing hazard functions and its application to immunogenicity of biotherapeutics
Author(s) -
Jonas Sarah Flora,
Mbogning Cyprien,
Broët Philippe
Publication year - 2017
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.7439
Subject(s) - censoring (clinical trials) , immunogenicity , computer science , nonparametric statistics , proportional hazards model , test (biology) , statistics , test data , hazard , data mining , medicine , mathematics , immunology , paleontology , chemistry , immune system , organic chemistry , biology , programming language
Several tests have been recently implemented in the nonparametric comparison of current status survival data. However, they are not suited for the situation of crossing hazards. In this setting, we propose a new test specifically designed for crossing hazards alternatives. The proposed test is compared to classical implemented tests through simulations mimicking crossing hazards situations with various schemes of censoring. The results show that the proposed test has a correct type I error and generally outperforms the existing methods. The application of the proposed test on a real dataset on immunogenicity of interferon‐ β among multiple sclerosis patients highlights the interest of the proposed test.