Accuracy is typically measured using two main types of errors: systematic errors and random errors. Systematic errors, also known as biases, lead to measurements that are consistently off-target in the same direction. Random errors, on the other hand, cause measurements to scatter around the true value. Methods such as sensitivity, specificity, and positive predictive value are often used to assess the accuracy of diagnostic tests and screening tools.