Comparing Multiple Survival Functions with Crossing Hazards in R
نویسندگان
چکیده
منابع مشابه
A pseudo-R measure for selecting genomic markers with crossing hazards functions
Background: In genomic medical studies, one of the major objectives is to identify genomic factors with a prognostic impact on time-to-event outcomes so as to provide new insights into the disease process. Selection usually relies on statistical univariate indices based on the Cox model. Such model assumes proportional hazards (PH) which is unlikely to hold for each genomic marker. Methods: In ...
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BACKGROUND In genomic medical studies, one of the major objectives is to identify genomic factors with a prognostic impact on time-to-event outcomes so as to provide new insights into the disease process. Selection usually relies on statistical univariate indices based on the Cox model. Such model assumes proportional hazards (PH) which is unlikely to hold for each genomic marker. METHODS In ...
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ژورنال
عنوان ژورنال: The R Journal
سال: 2020
ISSN: 2073-4859
DOI: 10.32614/rj-2021-002