Multiple comparisons, multiplicity or multiple testing problem occurs when many statistical tests are performed on the same dataset. Each test has its own chance of a Type I error, so the overall probability of making at least one false positive increases as the number of tests grows. In statistics, this occurs when one simultaneously considers a set of statistical inferences or estimates a subset of selected parameters based on observed values.