Table 4.
Simple hierarchical logistic regression models | Final multivariable hierarchical logistic regression model | |
---|---|---|
Environmental and weather variables | ORs (95% Credible Intervals) | ORs (95% Credible Intervals) |
Altitude* | 1.730 (1.189 - 2.433) | REM |
Precipitation◊ | 1.690 (1.336 - 2.016) | REM |
Min temperature‡ | 0.570 (0.546 - 0.591) | 0.746 (0.717 - 0.768) |
Max temperature♦ | 0.465 (0.436 - 0.484) | NI |
Av temperature‡ | 0.580 (0.564 - 0.591) | NI |
Air pressure▲ | 0.606 (0.602 - 0.609) | 0.616 (0.608 - 0.622) |
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