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One-Factor Comparative Studies

In: Applied Statistics in the Pharmaceutical Industry

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  • Bill Pikounis

    (Merck Research Laboratories)

Abstract

Virtually every kind of educational text on fundamental statistical methods covers the Student t-test for comparing two groups with respect to some response. It is arguably the most frequently applied statistical inference technique to data, helped along by its inclusion into practically any computer software that provides statistical capabilities. A considerable subset of these texts and softwares also covers data layouts with more than two groups.

Suggested Citation

  • Bill Pikounis, 2001. "One-Factor Comparative Studies," Springer Books, in: Steven P. Millard & Andreas Krause (ed.), Applied Statistics in the Pharmaceutical Industry, chapter 2, pages 17-40, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4757-3466-9_2
    DOI: 10.1007/978-1-4757-3466-9_2
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