logreg

Fits univariable and multivariable logistic regression models for a binary outcome,
summarizing odds ratios (ORs), 95% confidence intervals, and p-values.
Factor predictors include reference levels in the table. Returns a formatted <code>flextable</code>
and optionally provides an automatic textual interpretation of results.

The 'dentomedical' package provides a comprehensive suite of tools for
medical and dental research. It includes automated descriptive statistics,
bivariate analysis with intelligent test selection, logistic regression,
and diagnostic accuracy assessment. All functions generate publication-ready tables using 'flextable', ensuring reproducibility and
clarity suitable for manuscripts, reports, and clinical research workflows.

Umar Hussain

dentomedical

Publication-Ready Descriptive, Bivariate, Regression,
Correlation and Diagnostic Accuracy Tools for Medical and
Dental Data

Nikolaos Pandis

logreg function

<dl><dt>data</dt>
<dd>A data frame containing the outcome and predictor variables.</dd>
<dt>outcome</dt>
<dd>Name of the binary outcome variable (character).</dd>
<dt>predictors</dt>
<dd>Character vector of predictor variable names.</dd>
<dt>report</dt>
<dd>Logical; if TRUE, prints an automatic textual interpretation of multivariable results (default: FALSE).</dd></dl>

Arguments

Binary Logistic Regression Table with Univariable and Multivariable Analysis — logreg

<dl>

<dt>data</dt>
<dd>A data frame containing the outcome and predictor variables.</dd>


<dt>outcome</dt>
<dd>Name of the binary outcome variable (character).</dd>


<dt>predictors</dt>
<dd>Character vector of predictor variable names.</dd>


<dt>report</dt>
<dd>Logical; if TRUE, prints an automatic textual interpretation of multivariable results (default: FALSE).</dd>

</dl>

logreg: Binary Logistic Regression Table with Univariable and Multivariable Analysis

Description

Value

Arguments

Examples