Fpp

What Fpp is

Fpp (False Positive Paradox) is a phenomenon in statistical analysis where a test result is falsely positive even though the probability of a false positive is very low. It occurs when the probability of a false positive is greater than the probability of a true positive.

Steps to calculate Fpp:

1. Calculate the probability of a true positive (PTP) and the probability of a false positive (PFP).

2. Calculate the odds ratio (OR) by dividing the PTP by the PFP.

3. Calculate the Fpp by subtracting the OR from 1.

4. The result of the Fpp calculation is the probability of a false positive when the probability of a true positive is 1.

Examples

1. FPP can be used to analyze the impact of different control variables on a response variable in a regression model.
2. FPP can be used to compare two or more populations with respect to a single variable or multiple variables.
3. FPP can be used to compare the performance of different prediction models.
4. FPP can be used to identify outliers in a dataset.

Related Topics

• RESPONSE

• PROBABILITY

• VARIABLE

• ODDS

• REGRESSION

• CONTROL