Sentence examples for I errors from inspiring English sources

Science traditionally aims at avoiding type I errors.

With corrections for baseline trend, fewer Type I errors were made.

Simulation studies show that empirical powers and type I errors are close to their nominal levels.

The main idea is to control for the marginal type I errors of response rate and toxicity rate separately.

Without statistical adjustments to correct for baseline trend, Type I errors greatly increased as baseline trend increased.

A risk of 5% for type I errors and 20% for type II errors was accepted.

The merit of the three methods is explored by calculation and comparison of power and of type I errors.

These errors are called Type-I errors.

Ignoring this property and assuming independent stages leads into large Type-I errors.

An important issue here is the control of type-I errors (false positives).

Why are these type-II errors more affected than type-I errors?