False Discovery Rate Calculator

False Discovery Rate Calculator calculator can be used to estimate the proportion of false positives among all positives, providing insights into the reliability of a statistical test.

Input Parameters

Calculation Results

Calculation Formula

FDR = FP / TP

Where:
FP = Number of False Positives
TP = Number of Total Positives

Result

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False Discovery Rate Calculator Usage Guide

Learn how to use the False Discovery Rate Calculator and its working principles

How to Use the Calculator

  1. Enter the number of false positives (FP) in the input field labeled "Number of False Positives (FP)".
  2. Enter the number of total positives (TP) in the input field labeled "Number of Total Positives (TP)".
  3. Click the "Calculate" button to compute the False Discovery Rate (FDR).
  4. The result will be displayed in the "Result" section.

Understanding the False Discovery Rate (FDR)

The False Discovery Rate (FDR) is a statistical measure that estimates the proportion of false positives among all positives. It is calculated as the ratio of false positives to the total number of positives. A lower FDR indicates a higher reliability of the statistical test.

Example

If a test identifies 20 true positives and 5 false positives, the FDR would be calculated as follows:

FDR = 5 / 20 = 0.25 or 25%