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Table 5 Results from multivariable logistic regression: scenario 1 analyses (n = 348 farms)

From: Generating social network data using partially described networks: an example informing avian influenza control in the British poultry industry

Farm-level predictor Predictor levelsa ORb lower 95% CIc upper 95% CIc p-value
Interceptd - 0.608 0.264 1.401 0.243
House count/Bird count hbSSe 1 - - -
  hbLS 0.161 0.041 0.636 0.009
  hbSL 0.507 0.207 1.246 0.139
  hbLL 0.317 0.141 0.711 0.005
Indoor/Free-range ifYNe 1 - - -
  ifNN 1.810 0.275 11.927 0.537
  ifNY 12.185 3.815 38.913 <0.001
  ifYY 3.072 0.725 13.018 0.128
Integration status Non-integratede 1    
  Integrated 0.681 0.307 1.512 0.345
Geographical location Region: Northe 1 - - -
  Region: East 1.337 0.567 3.152 0.507
  Region: Scotland 0.324 0.038 2.752 0.302
  Region: Wales 0.126 0.012 1.329 0.085
  Region: West 0.321 0.135 0.761 0.010
Interaction terms ifNN*Integrated 0.900f 0.075 10.778 0.934
  ifNY* Integrated 0.128 f 0.028 0.594 0.009
  ifYY* Integrated 0.965f 0.048 19.526 0.982
  1. aSee tables 3 and 4 for definitions; bOR = odds ratio; cCI = confidence interval of the OR; daverage odds in the baseline predictor groups; ereference-level category; fOR for farms in the baseline category of the other interacting variable; results significant at 5% error level are indicated in bold.