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Matrix Approach to 1-Way ANOVA

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Presentation on theme: "Matrix Approach to 1-Way ANOVA"— Presentation transcript:

1 Matrix Approach to 1-Way ANOVA
Comparison of Sexual Side Effects in 4 Antidepressants JG Modell, et al (1997). "Comparative Sexual Side Effects of Bupropion, Fluoxetine, Paroxetine, and Sertraline ", Clinical Pharmacology and Therapeutics, Vol.61(4),pp

2 Model

3 Matrix Approach with no constraints (t=3)

4 Applying Constraint 1 – Part 1

5 Applying Constraint 1 – Part 2

6 Applying Constraint 1 – Part 3

7 Applying Constraint 1 – Part 4

8 Applying Constraint 2 – Part 1

9 Applying Constraint 2 – Part 2

10 Applying Constraint 2 – Part 3

11 Applying Constraint 2 – Part 4

12 Applying Constraint 3 – Part 1

13 Applying Constraint 3 – Part 2

14 Applying Constraint 3 – Part 3

15 Applying Constraint 4

16 S U M A R Y

17 Estimable Functions A linear function of the parameter vector b, h’b is said to be estimable if h’=t’X. That is, if h’ can be written as a linear function of the rows of X

18 Uniqueness of Estimates of Estimable Functions

19 Application: Comparison of g=4 Antidepressants
Response: Y = Change in libido scores for patients on antidepressants Treatments: g=4 Brands of antidepressants Prozac (n1 = 37) Paxil (n2 = 21) Zoloft (n3 = 27) Wellbutrin (n4 = 22) N=107, g=4, Prozac, Paxil, Zoloft are SSRI’s, Wellbutrin not Will make generalizations of case g=3

20 Data and Analysis of Variance
H0 : Brand Means are all equal Conclude brand means are not all equal Note: s2 = MSE = 0.96

21 Parameter Estimates – Constraint 1

22 Parameter Estimates – Constraint 2

23 Parameter Estimates – Constraint 3

24 Parameter Estimates – Constraint 4


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