Table 3.
Coefficients of the Hurdle–Poisson and Hurdle–NB models for the count process.
| Hurdle–Poisson Model | Hurdle–NB Model | |
|---|---|---|
| (A) Truncated count process | ||
| Estimate (Std. Error) | Estimate (Std. Error) | |
| (Intercept) | 2.01 *** (0.01) | 1.91 *** (0.03) |
| Clinical–ordinary | - | - |
| Clinical–ICU | 0.56 *** (0.01) | 0.61 *** (0.02) |
| Regular | - | - |
| Long-term | 0.42 *** (0.01) | 0.46 *** (0.03) |
| Age [0, 10) | −0.98 *** (0.01) | −1.23 *** (0.15) |
| Age [10, 20) | −0.42 *** (0.07) | −0.45 ** (0.15) |
| Age [20, 30) | −0.16 *** (0.03) | −0.14 (0.08) |
| Age [30, 40) | −0.13 *** (0.02) | −0.13 * (0.05) |
| Age [40, 50) | −0.14 *** (0.01) | −0.14 *** (0.04) |
| Age [50, 60) | - | - |
| Age [60, 70) | 0.11 *** (0.01) | 0.11 *** (0.03) |
| Age [70, 80) | 0.15 *** (0.01) | 0.17 *** (0.03) |
| Age [80, 102) | 0.13 *** (0.01) | 0.17 *** (0.03) |
| First wave | 0.17 *** (0.01) | 0.19 *** (0.02) |
| Second wave | - | - |
| Third wave | −0.06 *** (0.01) | −0.05 * (0.02) |
| Out-wave | −0.19 *** (0.01) | −0.18 *** (0.02) |
| Log(theta) | - | 0.436 *** (0.019) |
| (B) Zero count process | ||
| Estimate (Std.Error) | Estimate (Std. Error) | |
| (Intercept) | 3.86 *** (0.16) | 3.86 *** (0.16) |
| Clinical–ordinary | - | - |
| Clinical–ICU | −0.11 (0.09) | −0.11 (0.09) |
| Regular | - | - |
| Long-term | 1.29 *** (0.25) | 1.29 *** (0.25) |
| Age [0, 10) | −4.62 *** (0.19) | −4.62 *** (0.19) |
| Age [10, 20) | −4.10 *** (0.22) | −4.10 *** (0.22) |
| Age [20, 30) | −0.93 ** (0.28) | −0.93 ** (0.28) |
| Age [30, 40) | −0.71 ** (0.23) | −0.71 ** (0.23) |
| Age [40, 50) | −0.35 (0.19) | −0.35 (0.19) |
| Age [50, 60) | - | - |
| Age [60, 70) | −0.16 (0.17) | −0.16 (0.17) |
| Age [70, 80) | −0.45 ** (0.15) | −0.45 ** (0.15) |
| Age [80, 102) | −0.83 *** (0.14) | −0.83 *** (0.14) |
| First wave | −1.08 *** (0.12) | −1.08 *** (0.12) |
| Second wave | - | - |
| Third wave | 0.26 (0.14) | 0.26 (0.14) |
| Out-wave | −1.20 *** (0.11) | −1.20 *** (0.11) |
*** p < 0.001, ** p < 0.01, * p < 0.05.