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. 2013 Sep 6;142(6):1214–1220. doi: 10.1017/S0950268813002124

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.