article · Frontiers for Young Minds · 2023
Understanding The Odds: Statistics in Public Health
Gabriella Goodwin, So Young Ryu
Cited by 3Open access
Abstract
In the world of public health and medicine, researchers are often trying to discover new ways of understanding and preventing diseases and other negative health outcomes. When public health researchers want to examine the relationship between some sort of exposure, like smoking, and a disease, such as lung cancer, they will often start by calculating what is called an odds ratio. An odds ratio is a comparison of odds between people who were exposed and people who were not exposed. However, odds ratios can be tricky to understand, even for experienced researchers. In this article, we will break down the odds ratio by reviewing the concepts and calculations of probability and odds. We will also discuss how to interpret an odds ratio, and how these ratios can be useful in real-world applications.
Cite this paper
Goodwin, G., & Ryu, S. Y. (2023). Understanding The Odds: Statistics in Public Health. Frontiers for Young Minds, 10. https://doi.org/10.3389/frym.2022.926624
Goodwin, Gabriella, and So Young Ryu. “Understanding The Odds: Statistics in Public Health.” Frontiers for Young Minds, vol. 10, 2023, https://doi.org/10.3389/frym.2022.926624.
Goodwin, Gabriella, and So Young Ryu. 2023. “Understanding The Odds: Statistics in Public Health.” Frontiers for Young Minds 10. https://doi.org/10.3389/frym.2022.926624.
Goodwin, G. and Ryu, S.Y. (2023) ‘Understanding The Odds: Statistics in Public Health’, Frontiers for Young Minds, 10. Available at: https://doi.org/10.3389/frym.2022.926624.
@article{goodwin2023understanding,
title = {{Understanding The Odds: Statistics in Public Health}},
author = {Goodwin, Gabriella and Ryu, So Young},
journal = {Frontiers for Young Minds},
volume = {10},
year = {2023},
doi = {10.3389/frym.2022.926624}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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