Combining Paired and Two-Sample Data Using a Permutation Test

@article{Einsporn2013CombiningPA,
  title={Combining Paired and Two-Sample Data Using a Permutation Test},
  author={Richard L. Einsporn and Desale Habtzghi},
  journal={Journal of data science},
  year={2013},
  volume={11},
  pages={767-779}
}
  • Richard L. Einsporn, Desale Habtzghi
  • Published 2013
  • Mathematics
  • Journal of data science
  • This paper presents a permutation test for the incomplete pairs setting. This situation arises in both observational and experimental studies when some of the data are in the form of a paired sample and the rest of the data comprise two independent samples. The proposed method uses the data from the two types of samples to test the difference between the mean responses. Our test statistic combines the observed mean difference for the complete pairs with the difference between the two means of… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 26 REFERENCES
    On comparing means in the paired case with incomplete data on both responses
    39
    On Comparing Correlated Means in the Presence of Incomplete Data
    9
    A test for equality of means of correlated variates with missing data on one response
    38
    On difference of means with incomplete data
    48
    A PERMUTATION PAIRED TEST ALLOWING FOR MISSING VALUES
    6
    Testing equality of variances of correlated variates with incomplete data on both responses
    12
    On comparing variances in the paired case with incomplete data
    6