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timeEL (version 0.9.1)

Time to Event Analysis via Empirical Likelihood Inference

Description

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) and Blanche (2020) . 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.

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Version

Install

install.packages('timeEL')

Monthly Downloads

192

Version

0.9.1

License

GPL (>= 3)

Maintainer

Paul Blanche

Last Published

August 29th, 2024

Functions in timeEL (0.9.1)

TwoSampleAalenJohansen

Risk difference and ratio using the Aalen-Johansen method
KaplanMeier

Risk and survival probability estimates using the Kaplan-Meier method
AalenJohansen

Risk estimate using the Aalen-Johansen method
BMTtcell

Bone Marrow Transplant Registry
SimA100

Simulated competing risks data
melanoma5

Melanoma competing risks data
TwoSampleKaplanMeier

Risk difference and risk ratio using the Kaplan-Meier method
BMTplat

Bone Marrow Transplant Registry
Freireich

Acute Leukemia data from Freireich et al (1963)
print.TwoSampleAalenJohansen

Print function for object of class 'TwoSampleAalenJohansen'
print.KaplanMeier

Print function for object of class 'KaplanMeier'
print.AalenJohansen

Print function for object of class 'AalenJohansen'
print.TwoSampleKaplanMeier

Print function for object of class 'TwoSampleKaplanMeier'