Table 2.
Test of conditional independence implied by the path diagram (figure 1). ((X; Y)|{Z} means that variables X and Y are independent conditional of variable Z (i.e. if Z is held constant, variation in X does not imply variation in Y). The associated mixed model used to test the independence claims are Y ∼ Z + X + 1|Year, where Year represents a random effect. The variable whose partial regression includes zero is X1 for all claims. Variables: X1 (CORTf), X2 (Arrival date), X3 (Body condition), X4 (Laying date), X5 (Hatching success) and X6 (Survival of an avian cholera outbreak).)
d-sep claim of independence | mixed model | partial regression slope (s.e.) | null probability | (distribution) |
---|---|---|---|---|
(X1,X4)|{X2,X3} | X4 ∼ X1 + X2 + X3 + (1|Year) | 0.072 (0.176) | 0.68 | (normal) |
(X1,X5)|{X4} | X5 ∼ X4 + X1 + (1|Year) | −0.046 (0.090) | 0.61 | (binomial) |
(X2,X5)|{X1,X4} | X5 ∼ X4 + X1 + X2 + (1|Year) | 0.014 (0.096) | 0.89 | (binomial) |
(X1,X6)|{X4} | X6 ∼ X4 + X1 + (1|Year) | 0.014 (0.039) | 0.71 | (binomial) |
(X2,X6)|{X1,X4} | X6 ∼ X4 + X1 + X2 + (1|Year) | −0.074 (0.069) | 0.28 | (binomial) |
(X3,X6)|{X1,X4} | X6 ∼ X4 + X1 + X3 + (1|Year) | 0.010 (0.039) | 0.79 | (binomial) |
(X4,X6)|{X5} | X6 ∼ X4 + X5 + (1|Year) | 0.057 (0.046) | 0.21 | (binomial) |