diabetes

A dataset containing clinical information from a diabetes study.

Estimation of marginal hazard ratios in clustered failure time data. It implements the weighted generalized estimating equation approach based on a semiparametric marginal proportional hazards model (See Niu, Y. Peng, Y.(2015). "A new estimating equation approach for marginal hazard ratio estimation"), accounting for within-cluster correlations. 5 different correlation structures are supported. The package is designed for researchers in biostatistics and epidemiology who require accurate and efficient estimation methods for survival analysis in clustered data settings.

Junyi Chen

marcox

Marginal Hazard Ratio Estimation in Clustered Failure Time Data

Siqi Zhou

Shida Li

Yi Niu

diabetes function

A data frame with 166 rows and 6 variables:<dl>
 <dt><code>risk</code></dt>
<dd>Numeric: Risk score of the patient.</dd> <dt><code>cens</code></dt>
<dd>Binary (0/1): Censoring indicator (1 = event occurred, 0 = censored).</dd> <dt><code>time</code></dt>
<dd>Numeric: Time to event or censoring (in months).</dd> <dt><code>id</code></dt>
<dd>Integer: Patient ID.</dd> <dt><code>trt</code></dt>
<dd>Binary (0/1): Treatment indicator (1 = treated, 0 = control).</dd> <dt><code>age</code></dt>
<dd>Binary (0/1): Age group indicator (1 = older, 0 = younger).</dd> 
</dl>

Format

Diabetes Study Data — diabetes

A data frame with 166 rows and 6 variables:<dl>
 <dt><code>risk</code></dt>
<dd>Numeric: Risk score of the patient.</dd>

 <dt><code>cens</code></dt>
<dd>Binary (0/1): Censoring indicator (1 = event occurred, 0 = censored).</dd>

 <dt><code>time</code></dt>
<dd>Numeric: Time to event or censoring (in months).</dd>

 <dt><code>id</code></dt>
<dd>Integer: Patient ID.</dd>

 <dt><code>trt</code></dt>
<dd>Binary (0/1): Treatment indicator (1 = treated, 0 = control).</dd>

 <dt><code>age</code></dt>
<dd>Binary (0/1): Age group indicator (1 = older, 0 = younger).</dd>

 
</dl>

diabetes: Diabetes Study Data

Description

Usage

Arguments

Format

Examples