Table 3.
Cox models analyzing the association of colchicine prescription in COVID-19-related hospital admissions after covariates balancing.
| Adj. | Trim. | Stab. | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Method | HR | 95% CI | p-value | p-value* | HR | CI | p-value | p-value* | HR | CI | p-value | p-value* |
| GLMs | 3.32 | 1.10–10.04 | 0.033 | 0.869 | 2.59 | 0.95–7.08 | 0.064 | 0.868 | 2.67 | 0.94–7.55 | 0.064 | 0.84 |
| GBMs | 2.77 | 0.76–10.159 | 0.124 | 0.854 | 2.15 | 0.89–5.22 | 0.090 | 0.834 | 2.37 | 0.64–8.73 | 0.195 | 0.82 |
| CBPS | 3.27 | 1.08–9.87 | 0.035 | 0.867 | 2.50 | 0.86–7.26 | 0.093 | 0.858 | 2.61 | 0.96–7.11 | 0.061 | 0.838 |
| NPCBPS | 1.98 | 0.68–5.75 | 0.212 | 0.826 | 2.71 | 1.06–6.91 | 0.037 | 0.848 | 1.97 | 0.67–5.76 | 0.217 | 0.825 |
| MLPS | 1.96 | 0.81–4.78 | 0.137 | 0.828 | 1.98 | 0.84–4.67 | 0.117 | 0.827 | 1.95 | 0.88–4.29 | 0.099 | 0.818 |
| EBAL | 3.11 | 0.96–10.12 | 0.059 | 0.844 | 2.56 | 0.97–6.72 | 0.057 | 0.842 | 3.10 | 0.96–10.04 | 0.059 | 0.843 |
| EBCW | 3.11 | 0.96–10.12 | 0.059 | 0.844 | 2.56 | 0.97–6.72 | 0.057 | 0.842 | 3.10 | 0.96–10.04 | 0.059 | 0.843 |
| OBW | 3.30 | 1.06–10.25 | 0.039 | 0.848 | 2.68 | 0.96–7.46 | 0.06 | 0.832 | 3.29 | 1.06–10.22 | 0.039 | 0.848 |
*
Schoenfeld test p value.
Adj., adjusted; CBPS, covariate balancing method; CI, confidence interval; EBAL, entropy balancing; EBCW, Empirical Balancing Calibration Weighting; GBM, Generalized Boosted Model; GLM, generalized linear model; HR: hazard ration; MLPS, machine learning propensity score based methods; NPCBPS, non-parametric covariate balancing method; OBW, optimization-based weighting; Stab., stabilized; Trim., trimmed.