Abstract
Unpaired t-tests are traditionally used for testing the significance of difference between parallel-groups according to
This chapter was previously published in “Machine learning in medicine-cookbook 3” as Chap.17, 2014.
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Cleophas, T.J., Zwinderman, A.H. (2020). Improving Parallel-Groups with Different Sample Sizes and Variances (5 Parallel-Group Studies). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_80
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DOI: https://doi.org/10.1007/978-3-030-33970-8_80
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