dat1

GAD-7 scores (mean ± SD) for high SES (control) vs low SES (treatment) groups across 6 studies.

datasets

Provides functions to create contour-enhanced forest plots for meta-analysis,
supporting binary outcomes (e.g., odds ratios, risk ratios), continuous outcomes (e.g., correlations),
and prevalence estimates. Includes options for prediction intervals, customized colors, study labeling,
and contour shading to highlight regions of statistical significance. Based on 'metafor' and 'ggplot2'.

Umar Hussain

contourforest

Contour-Enhanced Forest Plots for Meta-Analysis

Muhammad Abdullah Kamran

Fayez Hussain Niazi

dat1 function

A data frame with 6 rows and 8 variables:<dl>
<dt>Study</dt>
<dd>Study name or year</dd><dt>mean_c</dt>
<dd>Mean GAD-7 score in high SES (control) group</dd><dt>sd_c</dt>
<dd>Standard deviation of GAD-7 scores in high SES (control) group</dd><dt>n_c</dt>
<dd>Sample size in high SES (control) group</dd><dt>mean_t</dt>
<dd>Mean GAD-7 score in low SES (treatment) group</dd><dt>sd_t</dt>
<dd>Standard deviation of GAD-7 scores in low SES (treatment) group</dd><dt>n_t</dt>
<dd>Sample size in low SES (treatment) group</dd><dt>subgroup</dt>
<dd>Geographical subgroup of the study (e.g., Asia, Europe)</dd>
</dl>

Format

Hypothetical dataset: GAD-7 Anxiety Scores by Socioeconomic Status — dat1

A data frame with 6 rows and 8 variables:<dl>
<dt>Study</dt>
<dd>Study name or year</dd>

<dt>mean_c</dt>
<dd>Mean GAD-7 score in high SES (control) group</dd>

<dt>sd_c</dt>
<dd>Standard deviation of GAD-7 scores in high SES (control) group</dd>

<dt>n_c</dt>
<dd>Sample size in high SES (control) group</dd>

<dt>mean_t</dt>
<dd>Mean GAD-7 score in low SES (treatment) group</dd>

<dt>sd_t</dt>
<dd>Standard deviation of GAD-7 scores in low SES (treatment) group</dd>

<dt>n_t</dt>
<dd>Sample size in low SES (treatment) group</dd>

<dt>subgroup</dt>
<dd>Geographical subgroup of the study (e.g., Asia, Europe)</dd>


</dl>

dat1: Hypothetical dataset: GAD-7 Anxiety Scores by Socioeconomic Status

Description

Usage

Arguments

Format