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Table 3 Output of the NBGLM explaining nymph density from field data

From: Influence of climatic factors on Ixodes ricinus nymph abundance and phenology over a long-term monthly observation in Switzerland (2000–2014)

Coefficients Estimate SE Z-value P-value
Intercept -3.99 0.88 -4.52 < 0.001
T 0.35 0.05 6.9 < 0.001
T2 -0.008 0.001 -5.82 < 0.001
RH 0.05 0.02 2.24 0.025
RH2 -0.0004 0.0002 -1.89 0.059
Ns (date, df = 6)1 3.45 0.51 6.71 < 0.001
Ns(date, df = 6)2 1.74 0.59 2.94 0.003
Ns(date, df = 6)3 -0.09 0.56 -0.16 0.87
Ns(date, df = 6)4 2.17 0.46 4.67 < 0.001
Ns(date, df = 6)5 2.28 0.93 2.44 0.015
Ns(date, df = 6)6 -2.58 0.59 -4.37 < 0.001
  1. Notes: Ns is natural cubic spline and df gives the degrees of freedom chosen to calculate the spline. One estimate is given for each climatic variable and each section of the spline (given by the df). Null deviance = 832.7 on 153 df, residual deviance = 159.4 on 143 df, number of nymph sampling = 173, 19 weather data were missing
  2. Abbreviation: SE standard error