OPTIMALCUTOFF

turn continuous data into clinically actionable decisions by identifying optimal cutoff points for patient stratification.

The tool is under development.

Choose data input method:

Edit data in table

Upload Excel file

Load demo data

Upload CSV or Excel file

Browse

ROC analysis: Youden index

ROC analysis: Closest to (0,1)

ROC analysis: maximizing

Survival analysis

Time-dependent ROC

Multiclass ROC

Select variable

Multiple variables in one plot

Select status column

Filter samples using

Include only

Select variable

Survival time

Time unit

Select status

Split patients by

Predefined cutoff

Use manual cutoff

Auto select best cutoff

Trichotomization

Choose cutoff:

Enter manual cutoff:

Select method:

Compare groups:

Filter samples using

Include only

Select marker(s)

Survival time

Status (0/1)

Evaluation times (comma-separated)

Event code (cause)

Plot type

AUC over time

ROC at selected time

Select marker(s)

Select multiclass status

Multiclass mode:

One-vs-Rest

One-vs-One

Filter samples using

Include only

Settings

Title

Label size

Line width

Line color

Fill AUC area

Confidence interval (ROC)

Show CI band

CI color

CI opacity

ROC point & grid options

Show points

Show grid

Legend position

Stat box position

Group colors (Density & Boxplot)

Negative group color

Positive group color

Data table

Number of columns:

How to use.

Under construction

OPTIMALCUTOFF

1. Select data:

2. Select analysis:

3. Select variable:

Split patients by

Confidence interval (ROC)

ROC point & grid options

Group colors (Density & Boxplot)

Data table

How to use.