Table 1 Mean estimates ± SE for coefficients in logit-link GLMMs where ‘presence–absence’ models the response at the site level, and ‘success-trial’ models the response as a binomial with information on the number of samples collected at each site
From: The importance of accounting for larval detectability in mosquito habitat-association studies
Parameter | Presence-absence GLMM | Success-trial GLMM | ||||||
|---|---|---|---|---|---|---|---|---|
Multi-model inference | Backwards selection | Multi-model inference | Backwards selection | |||||
Estimate | RIW | Estimate | p value | Estimate | RIW | Estimate | p value | |
Intercept | −0.16 ± 0.6 | – | 0.25 ± 0.52 | 0.62 | −4.6 ± 1.2 | – | −4.38 ± 1.1 | <0.001 |
Vegetation | −0.14 ± 0.07 | 1.0 | −0.14 ± 0.06 | 0.03 | −0.18 ± 0.04 | 1.0 | −0.17 ± 0.04 | <0.001 |
Depth | −0.29 ± 0.29 | 0.69 | −0.37 ± 0.24 | 0.13 | −0.52 ± 0.21 | 0.96 | −0.60 ± 0.16 | <0.001 |
pH | 1.6 ± 1.7 | 0.69 | 1.77 ± 1.34 | 0.18 | 0.51 ± 0.85 | 0.40 | – |  |
Sunshine | 0.40 ± 0.71 | 0.26 | – |  | 3.9 ± 0.96 | 1.0 | 3.9 ± 0.93 | <0.001 |
Temperature | 0.03 ± 0.08 | 0.24 | – |  | 0.08 ± 0.1 | 0.43 | – |  |
Algae | 0.28 ± 0.84 | 0.31 | – |  | 0.62 ± 0.81 | 0.52 | – |  |