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. 2014 Dec 30;4(1):11–21. doi: 10.1016/j.ijppaw.2014.12.004

Table 4.

Most competitive models describing Plasmodium prevalence as assessed using tissue samples collected from northern pintails in 2011–2012 from Alaska, California, and Japan where psi (Ψ) is the estimate of prevalence and rho (ρ) is the estimate of detection probability from occupancy models. Abbreviations used for sub-regions in Alaska are as follows: NWR = National Wildlife Refuge, Y-K = Yukon-Kuskokwim, K-N = Koyukuk-Nowitna.

Predicting Plasmodium infection Parameters for top Plasmodium model
Model QAICc ΔQAICc QAICc weights Model likelihood No. of parameters Deviance Estimate s.e. Lower c.i. Upper c.i.
{Ψ Alaska sub-region vs Others, ρ} 189.771 0.000 0.775 1.000 5 22.539 ρ 0.928 0.040 0.800 0.976
{Ψ Sub-region, ρ} 192.293 2.522 0.220 0.283 7 21.002 Ψ Izembek NWR 0.005 0.007 0.000 0.081
{Ψ Sub-region * Age, ρ} 201.016 11.245 0.003 0.004 12 19.492 Ψ Y-K Delta NWR 0.045 0.022 0.017 0.112
{Ψ Sub-region * Sex, ρ} 201.101 11.330 0.003 0.004 13 17.517 Ψ K-N NWR 0.176 0.040 0.111 0.267
{Ψ Region, ρ} 210.264 20.493 0.000 0.000 4 45.055 Ψ California + Japan 0.026 0.014 0.009 0.074
{Ψ K-N NWR vs Others, ρ} 212.223 22.452 0.000 0.000 3 49.033
{Ψ Sub-region * Age * Sex, ρ} 216.875 27.104 0.000 0.000 23 12.419 Variance inflation = 2.156
{Ψ Sub-region * Age * Sex, ρ Alaska sub-region vs Others} 218.987 29.216 0.000 0.000 24 12.417
{Ψ Sub-region * Age * Sex, ρ Region} 220.764 30.993 0.000 0.000 25 12.075
{Ψ Sub-region * Age * Sex, ρ Sub-region} 223.532 33.761 0.000 0.000 28 8.456
{Ψ Sub-region * Age * Sex, ρ Sub-region * Sex} 224.676 34.906 0.000 0.000 30 5.318
{Ψ Sub-region * Age * Sex, ρ Sub-region * Age} 226.972 37.201 0.000 0.000 31 5.464
{Ψ Sub-region * Age * Sex, ρ Sub-region * Age * Sex} 254.518 64.747 0.000 0.000 44 4.602
{Ψ Sub-region * Age * Sex, ρ Sub-region * Age * Sex * Run} 300.068 110.297 0.000 0.000 66 0.000