BMTtcell

The data contain observations of 408 patients treated with HLA-identical sibling
bone marrow transplantation for myelodysplasia. The dataset is essentially a subset of
the 'bmt' data of the 'timereg' package (minor changes were introduced to break the ties).

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

BMTtcell function

A data frame with 408 rows and 3 variables:<dl>
<dt>time</dt>
<dd>time to event since transplant (in months)</dd><dt>status</dt>
<dd>event status, 1 is dead from treatment related causes, 2 is relapse , 0 is censored.</dd><dt>group</dt>
<dd>presence of T-cell depletion: 1 if present, 0 otherwise</dd>
</dl>

Format

Bone Marrow Transplant Registry — BMTtcell

A data frame with 408 rows and 3 variables:<dl>
<dt>time</dt>
<dd>time to event since transplant (in months)</dd>

<dt>status</dt>
<dd>event status, 1 is dead from treatment related causes, 2 is relapse , 0 is censored.</dd>

<dt>group</dt>
<dd>presence of T-cell depletion: 1 if present, 0 otherwise</dd>


</dl>

BMTtcell: Bone Marrow Transplant Registry

Description

Usage

Arguments

Format

References