Table 4.
Cumulative logistic regression model with full variables and interactions
| Parameter | d.f. | β | OR (95% CI) | Wald χ2 | Pr > χ2 |
|---|---|---|---|---|---|
| Intercept4 | 1 | −3·5500 | 0·7944 | 0·3728 | |
| Intercept3 | 1 | −1·5196 | 0·1462 | 0·7022 | |
| Intercept2 | 1 | 0·4848 | 0·0146 | 0·9038 | |
| Altitude | 1 | 2·1080 | 1·2978 | 0·2546 | |
| Dogs | 1 | −4·6735 | 0·009 (0·001–0·196) | 9·0448 | 0·0026 |
| Yaks | 1 | −0·0286 | 0·972 (0·932–1·013) | 1·7836 | 0·1817 |
| Temperature | 1 | 5·5078 | 5·8053 | 0·0160 | |
| Altitude*temperature | 1 | −2·6363 | 5·3925 | 0·0202 |
d.f., Degrees of freedom; OR, odds ratio; CI, confidence interval.