meta-analysis-forest-plotter
# Meta-Analysis Forest Plot Generator
Create publication-ready forest plots for systematic reviews and meta-analyses with customizable styling and statistical annotations.
## Quick Start
```python
from scripts.forest_plotter import ForestPlotter
plotter = ForestPlotter()
# Generate forest plot
plot = plotter.create_plot(
studies=["Study A", "Study B", "Study C"],
effect_sizes=[1.2, 0.8, 1.5],
ci_lower=[0.9, 0.5, 1.1],
ci_upper=[1.5, 1.1, 1.9],
overall_effect=1.15
)
```
## Core Capabilities
### 1. Basic Forest Plot
```python
fig = plotter.plot(
data=studies_df,
effect_col="HR",
ci_lower_col="CI_lower",
ci_upper_col="CI_upper",
study_col="study_name"
)
```
**Required Data Columns:**
- Study name/identifier
- Effect size (OR, HR, RR, MD, etc.)
- Confidence interval lower bound
- Confidence interval upper bound
- Weight (optional, for precision)
### 2. Statistical Annotations
```python
fig = plotter.plot_with_stats(
data,
heterogeneity_stats={
"I2": 45.2,
"p_value": 0.03,
"Q_statistic": 18.4
},
overall_effect={
"estimate": 1.15,
"ci": [0.98, 1.35],
"p_value": 0.08
}
)
```
**Heterogeneity Metrics:**
| Metric | Interpretation |
|--------|---------------|
| I² < 25% | Low heterogeneity |
| I² 25-50% | Moderate heterogeneity |
| I² > 50% | High heterogeneity |
| Q p-value < 0.05 | Significant heterogeneity |
### 3. Subgroup Analysis
```python
fig = plotter.subgroup_plot(
data,
subgroup_col="treatment_type",
subgroups=["Surgery", "Radiation", "Combined"]
)
```
### 4. Custom Styling
```python
fig = plotter.plot(
data,
style="publication",
journal="lancet", # or "nejm", "jama", "nature"
color_scheme="monochrome",
show_weights=True
)
```
## CLI Usage
```bash
# From CSV data
python scripts/forest_plotter.py \
--input meta_analysis_data.csv \
--effect-col OR \
--output forest_plot.pdf
# With custom styling
python scripts/forest_plotter.py \
--input data.csv \
--style lancet \
--width 8 --height 10
```
## Output Formats
- **PDF**: Publication quality, vector graphics
- **PNG**: Web/presentation, 300 DPI
- **SVG**: Editable in Illustrator/Inkscape
- **TIFF**: Journal submission format
## References
- `references/forest-plot-styles.md` - Journal-specific formatting
- `examples/sample-plots/` - Example outputs
---
**Skill ID**: 207 | **Version**: 1.0 | **License**: MIT
标签
skill
ai
