Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The interval R package
By M. Fay, Pamela A. Shaw. Journal of Statistical Software, 2010
403 citations recorded by the source corpus.
For right-censored data perhaps the most commonly used tests are weighted logrank tests, such as the logrank and Wilcoxon-type tests. In this paper we review several generalizations of those weighted logrank tests to interval-censored data and present an R package, interval, to implement many of them. The interval package depends on the perm package, also presented here, which performs exact and asymptotic linear permutation tests. The perm package performs many of the tests included in the already available coin package, and provides an independent validation of coin. We review analysis methods for interval-censored data, and we describe and show how to use the interval and perm packages.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4096fb2845949152d4ac568fe275d730e46866c1
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Citations in the corpus
- Ecological effects of extreme drought on Californian herbaceous plant communities (2016, methodology): “For the geographic gradient study, we tested for relationships between mean annual precipitation and community metrics using an asymptotic permutation test for significant correlations in the R perm package (permTREND function; Fay and Shaw 2010).”
- Within-canopy variation in photosynthetic capacity, SLA and foliar N in temperate broad-leaved trees with contrasting shade tolerance (2014, methodology): “We used the package ‘perm’ (Fay and Shaw 2010) with permKS and permTS.”
- Multi-Ethnic Genome-wide Association Study for Atrial Fibrillation (2018, methodology): “Statistical significance was calculated with a permutation test from the perm package in R.(63)”