timeEL: Time to Event Analysis via Empirical Likelihood Inference

Computation of t-year survival probabilities and t-year risks with right censored survival data. The Kaplan-Meier estimator is used to provide estimates for data without competing risks and the Aalen-Johansen estimator is used when there are competing risks. Confidence intervals and p-values are obtained using either usual Wald-type inference or empirical likelihood inference, as described in Thomas and Grunkemeier (1975) <doi:10.1080/01621459.1975.10480315> and Blanche (2020) <doi:10.1007/s10985-018-09458-6>. Functions for both one-sample and two-sample inference are provided. Unlike Wald-type inference, empirical likelihood inference always leads to consistent conclusions, in terms of statistical significance, when comparing two risks (or survival probabilities) via either a ratio or a difference.

Version:	0.9.1
Depends:	R (≥ 2.10)
Suggests:	km.ci, prodlim, survival, testthat (≥ 3.0.0)
Published:	2024-08-29
DOI:	10.32614/CRAN.package.timeEL
Author:	Paul Blanche [aut, cre], Frank Eriksson [ctb]
Maintainer:	Paul Blanche <paulfblanche at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	timeEL results

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