diabDat

<p>This dataset was simulated by sampling cases from an existing type 1 diabetes study (the original data could not be disclosed). The study investigates the relationship between concentration levels (low and high) of the islet antigen 2 antibody (IA2A) and several covariates of potential interest in type 1 diabetes patients (age, gender, and the number of copies (0,1 or 2) of the HLA-DQ2, HLA-DQ8 and HLA-DQ6.2 haplotypes).</p>

datasets

Implements a Markov Chain Monte Carlo algorithm to approximate
exact conditional inference for logistic regression models. Exact
conditional inference is based on the distribution of the sufficient
statistics for the parameters of interest given the sufficient statistics
for the remaining nuisance parameters. Using model formula notation, users
specify a logistic model and model terms of interest for exact inference.
See Zamar et al. (2007) <doi:10.18637/jss.v021.i03> for more details.

David Zamar

elrm

Exact Logistic Regression via MCMC

Jinko Graham

Brad McNeney

diabDat function

<p>Matrix with columns:</p><table class="table">
<tr><td>[,1]</td><td>n</td><td>numeric</td><td>number of binomial trials.</td></tr>
<tr><td>[,2]</td><td>IA2A</td><td>numeric</td><td>number of patients with high concentration levels of the islet antigen 2 antibody</td></tr>
<tr><td>[,3]</td><td>gender</td><td>numeric</td><td>gender of patient</td></tr>
<tr><td>[,4]</td><td>age</td><td>numeric</td><td>age of patient</td></tr>
<tr><td>[,5]</td><td>nDQ2</td><td>numeric</td><td>number of copies of the HLA-DQ2 haplotype (0,1, or 2)</td></tr>
<tr><td>[,6]</td><td>nDQ8</td><td>numeric</td><td>number of copies of the HLA-DQ8 haplotype (0,1, or 2)</td></tr>
<tr><td>[,7]</td><td>nDQ6.2</td><td>numeric</td><td>number of copies of the HLA-DQ6.2 haplotype (0,1, or 2)</td></tr>
</table><p></p><p></p>

Format

Simulated Diabetes Dataset — diabDat

<p>Matrix with columns:</p><table class='table'>
<tr><td>[,1]</td><td>n</td><td>numeric</td><td>number of binomial trials.</td></tr>
<tr><td>[,2]</td><td>IA2A</td><td>numeric</td><td>number of patients with high concentration levels of the islet antigen 2 antibody</td></tr>
<tr><td>[,3]</td><td>gender</td><td>numeric</td><td>gender of patient</td></tr>
<tr><td>[,4]</td><td>age</td><td>numeric</td><td>age of patient</td></tr>
<tr><td>[,5]</td><td>nDQ2</td><td>numeric</td><td>number of copies of the HLA-DQ2 haplotype (0,1, or 2)</td></tr>
<tr><td>[,6]</td><td>nDQ8</td><td>numeric</td><td>number of copies of the HLA-DQ8 haplotype (0,1, or 2)</td></tr>
<tr><td>[,7]</td><td>nDQ6.2</td><td>numeric</td><td>number of copies of the HLA-DQ6.2 haplotype (0,1, or 2)</td></tr>
</table>



diabDat: Simulated Diabetes Dataset

Description

Usage

Arguments

Format

[,1]	n	numeric	number of binomial trials.
[,2]	IA2A	numeric	number of patients with high concentration levels of the islet antigen 2 antibody
[,3]	gender	numeric	gender of patient
[,4]	age	numeric	age of patient
[,5]	nDQ2	numeric	number of copies of the HLA-DQ2 haplotype (0,1, or 2)
[,6]	nDQ8	numeric	number of copies of the HLA-DQ8 haplotype (0,1, or 2)
[,7]	nDQ6.2	numeric	number of copies of the HLA-DQ6.2 haplotype (0,1, or 2)