Kaplan–Meier Survival
Product-limit estimates with censor marks, Greenwood variance, log–log confidence intervals and adjustable patients-at-risk tables.
Scientific visualizationPhi Statistics
Phi Statistics
Drawer
Create clean statistical figures from manual, CSV or spreadsheet data — without coding, complex online workflows or recurring subscription fees.
One-time purchase · No monthly subscription
Works fully offline300–1200 DPIMultiple image formatsIn-app methodology
Clinical visualizations
Recurring research figures.
Without the coding detour.
Purpose-built tools for figure types used in manuscripts, theses, conference posters, presentations and clinical research reports.
Forest Plot
Display precomputed ratio or difference effects with linear or logarithmic scales, interval caps and reference lines.
ROC / AUC Analysis
Compare multiple numeric markers with AUC estimates, cutoff statistics, paired DeLong comparisons and optional bootstrap bands.
Boxplot, Scatter & Fusion
Combine distributions, individual observations and summary values while retaining precise control over presentation.
Paired Dot Plot
Show before-and-after or matched measurements with individual trajectories, custom labels and summary tables.
Research workflow
From spreadsheet
to finished figure.
A clean data–plot–adjustment workflow keeps the source values, live figure and presentation controls close together.
Bring data in quickly
Enter values manually, paste them into built-in tables, or import CSV and spreadsheet files.
Cover recurring figure types
Create grouped or stacked bars and linear, logarithmic or exponential regression plots alongside the core clinical visualizations.
Control the scientific presentation
Adjust axes, labels, legends, colors, symbols, fonts, annotations, dimensions and tool-specific presets.
Export for publication
Save PNG, JPEG, TIFF or BMP figures at 300, 600 or 1200 DPI for manuscripts, posters and presentations.
Scientific transparency
Methods behind every figure.
The methodology documents data handling, estimators, assumptions and implementation choices — including Greenwood and log–log intervals for Kaplan–Meier analysis, paired DeLong comparisons for ROC/AUC and the scope of descriptive plotting tools.
Formatting controls change the visual presentation, not the underlying data or statistical calculation.
Read the complete Phi methodology →Draw your next figure with Phi.
One purchase for your offline macOS or Windows workflow.
One-time purchase · No monthly subscription