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.

Getting started

Package details

AuthorPaul Blanche [aut, cre] (<https://orcid.org/0000-0003-1415-7976>), Frank Eriksson [ctb]
MaintainerPaul Blanche <paulfblanche@gmail.com>
LicenseGPL (>= 3)
Version0.9.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("timeEL")

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timeEL documentation built on Sept. 12, 2024, 9:35 a.m.