Table 2.
Multiple regression (stepwise) cumulative logistic regression model
Parameter | d.f. | β | OR (95% CI) | Wald χ2 | Pr > χ2 |
---|---|---|---|---|---|
Intercept4 | 1 | 5·5242 | 8·7665 | 0·0031 | |
Intercept3 | 1 | 7·3015 | 12·9750 | 0·0003 | |
Intercept2 | 1 | 8·9765 | 16·3604 | <0·0001 | |
Altitude | 1 | −2·0786 | 0·125 (0·029–0·547) | 7·6223 | 0·0058 |
Dogs | 1 | −3·7484 | 0·024 (0·002–0·300) | 8·3455 | 0·0039 |
Yaks | 1 | −0·0348 | 0·996 (0·934–0·999) | 4·0447 | 0·0443 |
d.f., Degrees of freedom; OR, odds ratio; CI, confidence interval.