. 2014 Aug 5;10:174. doi: 10.1186/s12917-014-0174-y

Table 2.

Results of the multivariate logistic regression model

Variables	Mean coefficient	Mean SE*	Mean odds ratio (OR)
Variables	Mean coefficient	Mean SE*	Adjusted odds ratio	95% confidence interval
Constant	−2.611	0.428
No. of human population	0.479	0.253	1.669**	1.024 -2.779
No. of farms having breeding sows	1.750 × 10-2	1.823 × 10-2	1.016	1.004-1.029
Autoregressive term	2.438	0.521

*SE stands for standard error.

**The odds of a sub-district being PRRS positive was increased by a factor of 1.669 (95% CI 1.024 to 2.779) for every 10,000 unit increases in the number of human population in a sub-district.

Results of the multivariate logistic regression model (Model I) with 100 bootstraps applied for analyzing PRRS presence/absence at the sub-district level in Thailand.