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. 2013 Mar 21;3:1515. doi: 10.1038/srep01515

Table 2. Logistic regression models evaluated as possible fits to infection status (0 = infected, 1 = uninfected) of tracked frogs. All possible one, two, and three-variable main-effects only models involving species identity (Species), gender of the individual (Sex), season (summer/wet season or winter/dry season, Season), and the proportion of body temperatures measured for each individual that were greater than 25°C (PA25) were considered. Models including more than three main effects or interactions were not included to preclude overfitting. The three best fitting models, with a total Akaike weight of 0.705, were averaged to obtain the final model. Predictions of this model appear in Figure 2.

Initial models
Effects in model AICc Delta AICc Akaike weight Nagelkerke R2
Sex, Species, PA25 94.930 0.000 0.398 0.264
Species, PA25 96.507 1.577 0.181 0.215
Sex, Species 97.237 2.307 0.126 0.206
Species, Sex, Season 98.098 3.168 0.082 0.223
Season, Species, PA25 98.632 3.702 0.063 0.216
PA25 99.366 4.436 0.043 0.119
Sex, PA25 99.683 4.753 0.037 0.144
Sex, Season, PA25 101.057 6.127 0.019 0.155
Season, PA25 101.150 6.220 0.018 0.124
Species, Season 101.459 6.529 0.015 0.149
Species 102.090 7.160 0.011 0.111
Sex 104.602 9.672 0.003 0.045
Sex, Season 104.794 9.864 0.003 0.072
Season 104.944 10.014 0.003 0.040

*coefficients structurally set to zero; one-tailed P value due to pre-existing hypothesis regarding effect direction (higher PA25 should decrease P(infection)).