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Table 2 Multilevel binary logistic regression permutation models with special reference to the wing length and the sex variables

From: Effect of wing length on the prevalence of trypanosomes in Glossina morsitans morsitans in eastern Zambia

Logistic model Predictor Coefficient P value AIC
1.0 whole data set
 Full model (n  =  2195) Trap method − 0.1 0.562 2100.9
Hot season 0.2 0.317
Rainy season − 0.1 0.673
Male sex − 0.2 0.090
Wing length 0.1 0.370
 Model without wing length predictor Trap method 0.0 0.799 2099.7
Hot season 0.2 0.348
Rainy season 0.0 0.701
Male sex − 0.3 0.010*
 Model without sex predictor Trap method − 0.1 0.526 2101.8
Hot season 0.2 0.311
Rainy season − 0.1 0.631
Wing length 0.1 0.032*
2.0 one-method data set: fly round
 Full model (n  =  1971) Hot season 0.2 0.273 1863.7
Rainy season − 0.1 0.478
Male sex − 0.2 0.146
Wing length 0.1 0.545
 Model without wing length predictor Hot season 0.2 0.296 1862.1
Rainy season − 0.1 0.467
Male sex − 0.3 0.024*
 Model without sex variable Hot season 0.2 0.256 1863.8
Rainy season − 0.1 0.482
Wing length 0.1 0.069
  1. *P  <  0.05 significance level