Table 2 Bivariate joint model.
From: Factors associated to the duration of COVID-19 lockdowns in Chile
Variable | Estimate | Standard error | p-value | HR (CI 95%) |
---|---|---|---|---|
Longitudinal sub-model | ||||
Intercept | 5.440 | 0.145 | < 0.001 | – |
Active cases | − 2.740 | 0.287 | < 0.001 | – |
Intercept | 0.219 | 0.013 | < 0.001 | – |
Positivity | − 0.406 | 0.036 | < 0.001 | – |
Time-to-event sub-model | ||||
Overcrowding | − 0.928 | 0.388 | 0.017 | 0.395 (0.185, 0.846) |
Active cases | − 0.773 | 0.218 | < 0.001 | 0.462 (0.301, 0.707) |
Positivity | − 24.104 | 3.130 | < 0.001 | 0.000 (0.000, 0.000) |