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. 2018 May 8;8(5):72. doi: 10.3390/ani8050072

Table 3.

Final multivariable negative binomial regression model used to investigate the effect of different variables on the odds for a higher number of non-compliance during animal welfare control made by the CAB (County Administrative Board, official control) or Arla (on the private standard Arlagården) in the Swedish county of Västra Götaland during 2010–2013.

Variable CAB Arla
IRR SE p-Value IRR SE p-Value
Intercept 1.56 0.30 0.019 0.77 0.11 0.071
Season 0.035 1 <0.001 1
  Winter (Dec–Feb) 1 1
  Spring (Mar–May) 0.97 0.13 0.81 0.70 0.10 0.012
  Summer (Jun–Aug) 0.46 0.12 0.004 0.44 0.10 <0.001
  Autumn (Sep–Nov) 0.88 0.15 0.47 0.88 0.17 0.38
Control type <0.001 1
  Random 1
  Complaint 1.33 0.26 0.14
  Risk-based 1.12 0.19 0.50
  Thematic pasture 0.44 0.15 0.02
  Thematic other 0.90 0.14 0.52
  Cross-compliance 0.26 0.11 0.002
  Others 1.85 0.83 0.17
Notification 0.28 1
  No 1
  Yes 1.19 0.20 0.28
Housing 0.035 1 0.002 1
  Cubicles 1 1
  Tie-stalls 1.42 0.19 0.01 1.53 0.21 0.001
  Mixed 1.15 0.40 0.69 0.39 0.31 0.23
KRAV <0.001 1 0.038 1
  No 1 1
  Yes 0.53 0.10 0.001 0.51 0.16 0.038
Season × KRAV 0.038 1
  Winter or No 1
  Spring × Yes 2.18 0.94 0.068
  Summer × Yes 0.42 0.47 0.44
  Autumn × Yes 0.60 0.31 0.31

1 Joint Chi-square test of effect.