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Table 6 Support for the 11 most important explanatory variables of the DIN

From: Masting by beech trees predicts the risk of Lyme disease

Rank Explanatory variable of interest Support (%)
1 Site 100.0
2 Year 100.0
3 Site:year 92.0
4 Beech mast score 2 years prior 69.1
5 RH1 50.8
6 RLB 31.2
7 PRy−1 20.0
8 SD1 16.1
9 T2 2.5
10 T1y−1 1.7
11 PR 1.2
  1. The support for the 11 most important explanatory variables is shown from the AIC-based model selection table of the DIN. This support is calculated as the sum of the Akaike weights for all the models in the set that include that particular explanatory variable. Additional file 1: Section 6 shows the results for all the explanatory variables