Open AccessFHtest: An R Package for the Comparison of Survival Curves with Censored Data
Author(s) -
Ramón Oller,
Klaus Langohr
Publication year - 2017
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v081.i15
Subject(s) - permutation (music) , class (philosophy) , r package , log rank test , extension (predicate logic) , interval (graph theory) , sample (material) , computer science , statistics , rank (graph theory) , counting process , mathematics , survival analysis , combinatorics , artificial intelligence , acoustics , programming language , chromatography , chemistry , physics
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming (1982). This class is widely used in survival analysis studies and it is a subset of the so-called weighted logrank test statistics. Recently, Oller and Gomez (2012) proposed an extension of this class for interval-censored data. This paper introduces the R package FHtest, which implements the Fleming-Harrington class for right-censored and interval-censored survival data. It provides an integrated approach for performing two-sample, k-sample and trend tests based on either counting process theory, likelihood theory, or permutation distributions. In this paper, we summarize the main aspects of the theory framework and present several examples with R codes to illustrate the usage of the main functions of FHtest.
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