The formula to calculate the False Discovery Rate (FDR) is:
\[ FDR = \frac{FD}{T} \times 100 \]
Where:
Let's say the number of false discoveries (\( FD \)) is 5 and the number of tests performed (\( T \)) is 100. Using the formula:
\[ FDR = \frac{5}{100} \times 100 \]
We get:
\[ FDR = 5 \% \]
So, the False Discovery Rate (\( FDR \)) is 5%.
The False Discovery Rate (FDR) is a metric used to indicate the proportion of false discoveries among the total number of tests performed. It is commonly used in multiple hypothesis testing to control the expected proportion of incorrect rejections of the null hypothesis. A lower FDR indicates a more reliable set of results.