Table 2. Minimal models for the GLM and GLMM analyses in Experiment 2.
a. Infection trajectory. Model type: GLMM (random terms = fish ID, days post-infection) | |||
Model term | Wald statistic (F) | d.f. | P |
Parasite population | 5.805 | 1 | 0.021 |
Fish length | 12.7 | 1 | 0.001 |
Days post-infection | 8.669 | 1 | 0.004 |
b. Maximum parasite burden. Model type: GLM | |||
Model term | Wald statistic (F) | d.f. | P |
Parasite population | 7.024 | 1, 40 | 0.012 |
Fish length | 12.639 | 1, 40 | >0.001 |
c. Day of peak parasite burden. Model type: GLM | |||
Model term | F statistics | d.f. | P |
Parasite population | 4.963 | 1, 32 | 0.033 |
Fish length | 16.327 | 1, 32 | >0.001 |
d. Day of parasite loss. Model type: GLM | |||
Model term | F statistics | d.f. | P |
Fish length | 13.343 | 1, 33 | >0.001 |
For GLMs the term, then the residual degree of freedom are given.