Teaching: confidence, prediction and tolerance intervals in scientific practice: a tutorial on binary variables.

ABSTRACT:

Background

One of the emerging themes in epidemiology is the use of interval estimates. Currently, three interval estimates for confidence (CI), prediction (PI), and tolerance (TI) are at a researcher's disposal and are accessible within the open access framework in R. These three types of statistical intervals serve different purposes. Confidence intervals are designed to describe a parameter with some uncertainty due to sampling errors. Prediction intervals aim to predict future observation(s), including some uncertainty present in the actual and future samples. Tolerance intervals are constructed to capture a specified proportion of a population with a defined confidence. It is well known that interval estimates support a greater knowledge gain than point estimates. Thus, a good

SUBMITTER: Hartnack S 

PROVIDER: S-EPMC8645111 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature