A Comparison of the False Discovery Rate with Dunnett’s Test for a Large Number of Treatments

Authors

  • Kayeromi D. Gomez Department of Statistics North Dakota State University Fargo, ND 58108
  • Curt Doetkott Department of Statistics North Dakota State University Fargo, ND 58108
  • Rhonda C. Magel Department of Statistics North Dakota State University Fargo, ND 58108

DOI:

https://doi.org/10.53555/nnms.v3i7.548

Keywords:

ANOVA, multiple comparisons, family wise error rate, false discovery rate

Abstract

Probabilities of two types of errors are estimated for the False Discovery Rate Procedure (FDR), Dunnett’s test, and conducting individual t-tests when treatments are being compared against a control. Probabilities for two types of powers are also estimated. The number of treatments considered is 50, 100, 150, and 300 with the first treatment being the control. Differing numbers of treatments equal to the control are considered with equal sample sizes of 3 and 5.

Author Biographies

  • Curt Doetkott, Department of Statistics North Dakota State University Fargo, ND 58108

     

  • Rhonda C. Magel, Department of Statistics North Dakota State University Fargo, ND 58108



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Published

2016-07-31

How to Cite

Gomez, K. D., Doetkott, C., & Magel, R. C. (2016). A Comparison of the False Discovery Rate with Dunnett’s Test for a Large Number of Treatments. Journal of Advance Research in Mathematics and Statistics (ISSN 2208-2409), 3(7), 20-26. https://doi.org/10.53555/nnms.v3i7.548

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