lung_cancer

This dataset is a subset of the GSE102287 dataset that includes only
characteristics of patients who are identified as African American (AA).

datasets

Implements Bayesian inference in accelerated failure time (AFT) models for
right-censored survival times assuming a log-logistic distribution. Details of the
variational Bayes algorithms, with and without shared frailty, are described in
Xian et al. (2024) <doi:10.1007/s11222-023-10365-6> and
Xian et al. (2024) <doi:10.48550/arXiv.2408.00177>, respectively.

Alison Zhang

survregVB

Variational Bayesian Analysis of Survival Data

Chengqian Xian

lung_cancer function

A data frame with 60 observations on selected patient
characteristics:<dl>
<dt>patient</dt>
<dd>Patient identification number.</dd><dt>age</dt>
<dd>Patient age.</dd><dt>Stage</dt>
<dd>Lung cancer stage (I, II, III).</dd><dt>time</dt>
<dd>Survival time in days.</dd><dt>gender</dt>
<dd>Gender of the patient.</dd><dt>smoking</dt>
<dd>0 = Never smoked, 1 = Has smoked.</dd><dt>status</dt>
<dd>0 = Alive, 1 = Death due to lung cancer.</dd>
</dl>

Format

Subset of GSE102287: African American (AA) Patients — lung_cancer

A data frame with 60 observations on selected patient
characteristics:<dl>
<dt>patient</dt>
<dd>Patient identification number.</dd>

<dt>age</dt>
<dd>Patient age.</dd>

<dt>Stage</dt>
<dd>Lung cancer stage (I, II, III).</dd>

<dt>time</dt>
<dd>Survival time in days.</dd>

<dt>gender</dt>
<dd>Gender of the patient.</dd>

<dt>smoking</dt>
<dd>0 = Never smoked, 1 = Has smoked.</dd>

<dt>status</dt>
<dd>0 = Alive, 1 = Death due to lung cancer.</dd>


</dl>

lung_cancer: Subset of GSE102287: African American (AA) Patients

Description

Usage

Arguments

Format

References