Concept and Interpretation of Confidence Interval: How to Overcome Limitations of P-value
DOI:
https://doi.org/10.52206/jsmc.2024.14.1.886Abstract
Knowing the estimate (mean or proportion) for the whole population is not feasible due to a lack of resources. Therefore, we rely on a sample estimate to draw conclusions about the population. The range of values in which the true population estimate lies is called a confidence interval (CI) which is more reliable than single estimate. For descriptive studies, CIs should be reported along with the point estimate (mean or proportion). For effect sizes in inferential statistics (mean difference, odds ratio, risk ratio, etc.), the p-value should be supplemented with a CI for strength and direction of the association.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 The authors retain the copyrights. Authors are permitted and encouraged to post their work online (e.g. in institutional repositories or on their website), as it can lead to productive exchanges, as well as greater citation of published work.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Readers may “Share-copy and redistribute the material in any medium or format” and “Adapt-remix, transform, and build upon the material”. The readers must give appropriate credit to the source of the material and indicate if changes were made to the material. Readers may not use the material for commercial purpose. The readers may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
