Table 2 Logistic regression model for subclinical hyperthyroidism
From: Standardisation of rates using logistic regression: a comparison with the direct method
Parameter | DF | Estimate | Error | Chi-Square | Pr > ChiSq |
|---|---|---|---|---|---|
Intercept | 1 | -7.2175 | 1.1495 | 39.4248 | < .0001 |
age | 1 | 0.0461 | 0.0154 | 8.9420 | 0.0028 |
sex | 1 | 1.0337 | 1.1495 | 0.8087 | 0.3685 |
age*sex | 1 | -0.0152 | 0.0154 | 0.9796 | 0.3223 |