trauma_data

The data frame saves data from the trauma trial data from Chuang-Stein and Agresti (1997).

datasets

In the context of paid research studies and clinical trials, budget considerations and patient sampling from available populations are subject to inherent constraints. We introduce the 'CDsampling' package, which integrates optimal design theories within the framework of constrained sampling. This package offers the possibility to find both D-optimal approximate and exact allocations for samplings with or without constraints. Additionally, it provides functions to find constrained uniform sampling as a robust sampling strategy with limited model information. Our package offers functions for the computation of the Fisher information matrix under generalized linear models (including regular linear regression model) and multinomial logistic models.To demonstrate the applications, we also provide a simulated dataset and a real dataset embedded in the package. Yifei Huang, Liping Tong, and Jie Yang (2025)<doi:10.5705/ss.202022.0414>.

Yifei Huang

CDsampling

Constrained Sampling in Paid Research Studies

Liping Tong

Jie Yang

trauma_data function

A data frame with 802 rows and 5 variables:<dl>
 <dt>Severity</dt>
<dd>severity of the trauma symptoms, mild or moderate/severe</dd> <dt>Dose</dt>
<dd>dose levels applied to the patients, 4 levels, placebo, low, medium and high</dd> <dt>Label</dt>
<dd>stratification group in terms of severity and dose</dd> <dt>Outcome</dt>
<dd>treatment outcome, 5 levels, death, vegetative state, major disability, minor disability and good recovery</dd> <dt>ID</dt>
<dd>patient ID, 1-802</dd>
</dl>

Format

Trauma data with multinomial response — trauma_data

A data frame with 802 rows and 5 variables:<dl>
 <dt>Severity</dt>
<dd>severity of the trauma symptoms, mild or moderate/severe</dd>

 <dt>Dose</dt>
<dd>dose levels applied to the patients, 4 levels, placebo, low, medium and high</dd>

 <dt>Label</dt>
<dd>stratification group in terms of severity and dose</dd>

 <dt>Outcome</dt>
<dd>treatment outcome, 5 levels, death, vegetative state, major disability, minor disability and good recovery</dd>

 <dt>ID</dt>
<dd>patient ID, 1-802</dd>


</dl>

trauma_data: Trauma data with multinomial response

Description

Usage

Arguments

Format

Examples