A Nonparametric Test for Clinical Trial with Low Infection Rate

  • Mark C. K. Yang (Department of Statistics, University of Florida) ;
  • Donguk Kim (Department of Statistics, Sungkyunkwan University)
  • Published : 1998.12.01

Abstract

This paper evaluates a new clinical trial designs for low infection rate disease. This type of sparse disease reaction makes the traditional two sample t-test or Wilcoxon rank-sum test inefficient compared to a new test suggested. The new test, which is based solely on the larger changes, is shown to be more effective than existing method by simulation for small samples. However, this test can be shown to be connected to the locally most powerful rank test under certain practical conditions. This design is motivated in testing the treatment effects in periodontal disease research.

Keywords

References

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