Table 3.
Simple hierarchical logistic regression models | Final multivariable hierarchical logistic regression model | |
---|---|---|
Environmental and weather variables | ORs (95% Credible Intervals) | ORs (95% Credible Intervals) |
Altitude* | 0.168 (0.118 - 0.242) | 0.168 (0.118 - 0.242) |
Precipitation◊ | 0.406 (0.322 - 0.510) | REM |
Min temperature‡ | 2.856 (2.686 - 3.000) | REM |
Max temperature♦ | 2.313 (2.198 - 2.385) | NI |
Av temperature‡ | 1.742 (1.710 - 1.779) | NI |
Air pressure▲ | 2.151 (2.140 - 2.174) | REM |
NI: These variables were not included in the final multivariate binomial logistic regression model building, as DIC indicated poorer fit than when min temperature was included.
REM: The effects of these variables were removed as DIC indicated by backward elimination
*per 50 MSL: Meters above sea level; ◊per 0.5 mm: millimeters; ♦per 1°C: Celsius; ‡ per 0.5°C: Celsius; ▲per 5 mbars: millibars