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 |
| 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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