Freireich

In this study there were 21 pairs of subjects, and within each pair one subject
received 6-mercaptopurine (6-MP) and one got placebo. The data are right censored.
See also Gehan (1965) and Thomas &amp; Grunkemeier (1975) who used the data as an
illustrative example (ignoring the pairing).

datasets

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.

Paul Blanche

timeEL

Time to Event Analysis via Empirical Likelihood Inference

Frank Eriksson

Freireich function

A data frame with 42 rows and 3 variables:<dl>
<dt>time</dt>
<dd>time in remission (in weeks)</dd><dt>status</dt>
<dd>event status, 1 is relapse, 0 is censored</dd><dt>group</dt>
<dd>treatment group: 0 (placebo) or 1 (6-MP)</dd>
</dl>

Format

Acute Leukemia data from Freireich et al (1963) — Freireich

A data frame with 42 rows and 3 variables:<dl>
<dt>time</dt>
<dd>time in remission (in weeks)</dd>

<dt>status</dt>
<dd>event status, 1 is relapse, 0 is censored</dd>

<dt>group</dt>
<dd>treatment group: 0 (placebo) or 1 (6-MP)</dd>


</dl>

Freireich: Acute Leukemia data from Freireich et al (1963)

Description

Usage

Arguments

Format

References