|
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