CROSSOVER DESIGN Repeated Measures meets Latin Squares 1
LAYOUT FOR CROSSOVER DESIGN Group III Subject1…910…18 Time 1A…AB B 2B…BA A 2
FIRST NINE SUBJECTS AT TIME 1 SubjectGroupTimeDrugY 111A A A A A A A A A39.1 3
CROSSOVER MODEL (SPLIT–PLOT UNIVARIATE ANALYSIS) Y ijkl =µ+G i +S (i)j Between Subjects +T k +D l +ε ijkl Within Subjects 4
ENTER ALL TERMS IN THE MODEL AS FIXED TO GET ALL SS FROM JMP 5
THIS GIVES ALL MODEL AND ERROR SS 6
IF WE SPECIFY SUBJECT AS RANDOM 7
SUBJECT(GROUP) TESTS GROUP, RESIDUAL TESTS THE WITHIN TERMS 8
USUALLY HOPE TIME IS NOT SIGNIFICANT, BUT AT LEAST WE CONTROLLED FOR IT 9
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….. 10
CONSIDER THE DRUG EFFECT 11
PLOT TIME*DRUG 12
MORAL: CROSSING IS GOOD Main Effects would have been confounded 13
ACTUALLY ONLY FOUR DISTINCT PREDICTED VALUES. WHY? 14
NOW CHECK NORMALITY 15