Table 4. Logistic regression models of variation in avian influenza virus (AIV) seroprevalence for greater white-fronted geese sampled in Alaska, USA, 2008–2010.
Greater white-fronted geese (n = 1150) | ||||
Models | k a | AICb | ΔAIC | ωi b |
Age + Sex | 2 | 1540.13 | 0.00 | 0.59 |
Site + Age+ Sex | 5 | 1542.61 | 2.48 | 0.17 |
Site + Year + Age + Sex | 10 | 1542.91 | 2.78 | 0.15 |
Year + Age + Sex | 7 | 1543.71 | 3.58 | 0.10 |
k = number of parameters in model.
The best approximating model has the lowest Akaike's Information Criterion (AIC) value and the highest model weight (ωi), relative to others in the model set.
Models examine the effects of location (site) and/or year, while controlling for sex and age (adult vs. subadult).