Participants in epidemiologic studies may not represent statistically independent observations. We consider modifications to conventional analyses of 2×2 tables, including Fisher’s exact test and confidence intervals, to account for correlated observations in this setting. An example is provided, assessing the robustness of conclusions from a published analysis.
Kalsih, Leslie A.; Riester, Katherine A.; and Pocock, Stuart J.
"Accounting For Non-Independent Observations In 2×2 Tables, With Application To Correcting For Family Clustering In Exposure-Risk Relationship Studies,"
Journal of Modern Applied Statistical Methods:
2, Article 46.
Available at: http://digitalcommons.wayne.edu/jmasm/vol1/iss2/46