Table 2 Results of the adjusted logistic regression models with the 4–category option for the respiratory rate (RR) and PCO2 covariates from the IRYSS-COPD Study, showing estimates of the beta coefficients, their 95 % confidence intervals and the p-values of their significance
From: Use of generalised additive models to categorise continuous variables in clinical prediction
Category | Estimate | 95 %CI | p-value |
|---|---|---|---|
RR ≤ 20 | -1.76 | (-2.37, -1.16) | < 0.0001 |
RR (20-24] | -1.22 | (-1.86, -0.58) | 0.0002 |
RR (24-30] | -0.56 | (-1.18, 0.06) | 0.074 |
RR > 30 | - | - | - |
Hosmer-Lemeshow test p-value > 0.05 | |||
PCO2 ≤ 43 | -3.48 | (-4.18, -2.86) | < 0.0001 |
PCO2 (43-52] | -2.62 | (-3.27, -2.03) | < 0.0001 |
PCO2 (52-65] | -1.44 | (-1.97, -0.93) | < 0.0001 |
PCO2 > 65 | - | - | - |
Hosmer-Lemeshow test p-value > 0.05 | |||