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Table 2 Binomial logistic regression models (reduced from the full models, Additional file 1: Table S1) testing the effects of biometric and environmental predictor variables on the overall presence of Hematodinium in the population. Models separated by location: Model 1, total population; Model 2, Dock; Model 3, Pier

From: Spatial and temporal disease dynamics of the parasite Hematodinium sp. in shore crabs, Carcinus maenas

Model Predictor variable Estimate (slope) SE P-value
Model 1
Hemat ~ Season + Sex Season (spring) 0.8137 0.2628 0.00196**
+ HemoCol Season (summer) 0.7437 0.2670 0.00535**
df = 1188 Season (winter) 0.4678 0.2740 0.08776
AIC: 914.72 Sex (male) 0.7940 0.1828 1.4e−05***
  HemoCol (milky) 1.1187 0.2716 3.8e−05***
Model 2
HematDock ~ Sex Sex (male) 1.4790 0.2918 7.4e−07***
+ Colour + HemoCol Colour (orange) − 0.5830 0.3827 0.1277
df = 595 Colour (yellow) 0.3667 0.2808 0.1915
AIC: 450.92 HemoCol (milky) 1.1323 0.4070 0.0054**
Model 3
HematPier ~ Season Season (spring) 0.99428 0.38751 0.010293*
+ CW + HemoCol Season (summer) 0.75876 0.40444 0.060645
df = 586 Season (winter) 0.35552 0.42248 0.400067
AIC: 430.7 CW − 0.06889 0.02065 0.000848***
  HemoCol (milky) 1.17749 0.38636 0.002306**
  1. *Statistically significant *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001
  2. Abbreviation: SE, standard error