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Crossover Design

Crossover Design. Repeated Measures meets Latin Squares. Layout for Crossover design. First nine subjects at Time 1. Y ijkl =µ+ G i +S ( i )j Between Subjects + T k +D l +ε ijkl W ithin Subjects . Crossover model (split–plot univariate analysis).

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Crossover Design

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  1. Crossover Design Repeated Measures meets Latin Squares

  2. Layout for Crossover design

  3. First nine subjects at Time 1

  4. Yijkl=µ+Gi+S(i)j Between Subjects • +Tk+Dl+εijklWithin Subjects Crossover model (split–plot univariate analysis)

  5. Enter all terms in the Model as Fixed to get all SS from JMP

  6. This gives all Model and error SS

  7. If we specify Subject as Random

  8. Subject(Group) tests Group, Residual tests the Within terms

  9. Usually hope Time is not significant, but at least we controlled for it

  10. What would happen if we believed our Model and Tested Drug A at Time 1 and Drug B at time 2? Hint is next slide…..

  11. Consider the Drug effect

  12. Plot Time*Drug

  13. Main Effects would have been confounded Moral: Crossing is good

  14. Actually only four distinct Predicted values. Why?

  15. Now check Normality

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