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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