Extending computations for disparity testing when data sources are uncertain

Author:

McDonald Gary C.ORCID,Oakley Rachel H.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health Policy

Reference11 articles.

1. Albert, J.: Bayesian Computation with R, 2nd edn. Springer, New York (2009)

2. Albert, J., Hu, J.: Probability and Bayesian Modeling. CRC Press, Boca Raton (2020)

3. Bolstad, W.M.: Understanding Computational Bayesian Statistics. Wiley, Hoboken (2010)

4. Carlin, B.P., Louis, T.A.: Bayesian Methods for Data Anaysis, 3rd edn. CRC Press, Boca Raton (2009)

5. Elkadry, A., McDonald, G.C.: Hypothesis testing when data sources are uncertain. J. Stat. Theory Pract. 14(4), 1–17 (2020). https://doi.org/10.1007/s42519-020-00132-5

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Bayesian Mixture Model Approach to Disparity Testing;Applied Mathematics;2024

2. Bootstrap approach to disparity testing with source uncertainty in the data;Health Services and Outcomes Research Methodology;2023-11-13

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