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Graphical Insight and Data Analysis for the 2,2,2 Crossover Design

In: Applied Statistics in the Pharmaceutical Industry

Author

Listed:
  • Bill Pikounis

    (Merck Research Laboratories)

  • Thomas E. Bradstreet

    (Merck Research Laboratories)

  • Steven P. Millard

    (Probability, Statistics & Information)

Abstract

S-Plus code is presented for the graphical insight into, and the statistical analysis of, a two-treatment, two-period, two-treatment-sequence, or 2,2,2 crossover design. In this introductory section, we describe the 2,2,2 crossover design and its uses in the pharmaceutical industry with emphasis on food interaction studies. We also introduce a specific example and a dataset which will be used pedagogically throughout the chapter. In Section 7.2, we provide a brief introduction to data management in S-Plus demonstrating just enough manipulations to facilitate the graphical methods and data analyses which follow. Section 7.3 presents a series of graphs for the initial exploration and discovery stage of the analysis of the 2,2,2 crossover design. In Section 7.4, we perform the usual normal theory ANOVA and provide a clear and decision-oriented summary and inference plot. Section 7.5 presents several graphical tools for the “visualization of the ANOVA” and a subsequent model fit assessment, and we end with a summary in Section 7.6.

Suggested Citation

  • Bill Pikounis & Thomas E. Bradstreet & Steven P. Millard, 2001. "Graphical Insight and Data Analysis for the 2,2,2 Crossover Design," Springer Books, in: Steven P. Millard & Andreas Krause (ed.), Applied Statistics in the Pharmaceutical Industry, chapter 7, pages 153-188, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4757-3466-9_7
    DOI: 10.1007/978-1-4757-3466-9_7
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