Table 5

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

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

0.128f

0.028

0.594

0.009

ifYY* Integrated

0.965f

0.048

19.526

0.982


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.

Nickbakhsh et al. BMC Veterinary Research 2011 7:66   doi:10.1186/1746-6148-7-66

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