TABLE 2.
Linear mixed-model selection performed to assess the effect of ELISA results (proxy for IgG response) on CT values obtained by a M. conjunctivae-specific qPCR (proxy for M. conjunctivae loads) in eye swabs of Iberian ibexesa
| Biological model | K | AICc | Δi | wi | Marginal R2 | Conditional R2 |
|---|---|---|---|---|---|---|
| Age | 5 | 38.47 | 0.00 | 0.80 | 0.61856109 | 0.68359573 |
| Age + yr | 6 | 43.26 | 4.79 | 0.07 | 0.61088941 | 0.67602488 |
| Age + ELISA | 6 | 48.54 | 10.07 | 0.01 | 0.61074212 | 0.70032295 |
| Yr | 4 | 49.86 | 11.39 | 0.00 | 0.16534722 | 0.29751655 |
| Mo | 3 | 50.08 | 11.61 | 0.00 | 0.00000000 | 0.00652695 |
| ELISA | 4 | 57.87 | 19.40 | 0.00 | 0.03221345 | 0.03221350 |
| ELISA + yr | 5 | 58.69 | 20.22 | 0.00 | 0.15863676 | 0.28898391 |
| Age × ELISA | 8 | 67.30 | 28.83 | 0.00 | 0.58927052 | 0.60548979 |
Nested models for the random terms were fitted with the individual ibex and the year (corresponding to two epidemiological scenarios) as random effects. K, number of parameters; AICc, Akaike information criterion corrected for small sample sizes; Δi, difference of AICc with respect to the best model; wi, Akaike weight; marginal R2, observed variability in the response variable explained by the fixed factors; conditional R2, observed variability in the response variable explained by both the fixed and random factors. The model with substantial support is in bold.