Table I.
MCMCid* |
ieMCMC* |
Bayesian-PL† |
||||
---|---|---|---|---|---|---|
Parameter | Mean (SE) | 95 per cent HDR | Mean (SE) | 95 per cent HDR | Mean (SE) | 95 per cent HDR |
μ | −0.797 (0.174) | (−1.136, −0.475) | −0.846 (0.208) | (−1.248, −0.436) | −0.891 (0.277) | (−1.423, −0.335) |
σ | 0.327 (0.413) | (0.027, 1.016) | 0.425 (0.519) | (0.029, 1.292) | 0.727 (0.783) | (0.028, 1.947) |
γ1 | −0.779 (0.145) | (−1.067, −0.494) | −0.845 (0.158) | (−1.162, −0.544) | −0.998 (0.185) | (−1.360, −0.623) |
γ2 | −1.073 (0.359) | (−1.812, −0.486) | −1.227 (0.416) | (−2.123, −0.596) | −1.585 (0.476) | (−2.497, −0.775) |
γ3 | −0.636 (0.274) | (−1.111, −0.039) | −0.623 (0.336) | (−1.190, 0.109) | −0.463 (0.412) | (−1.189, 0.339) |
β1 | −0.538 (0.086) | (−0.707, −0.371) | −0.569 (0.098) | (−0.756, −0.377) | −0.645 (0.101) | (−0.842, −0.444) |
β2 | 0.013 (0.006) | (0.001, 0.027) | 0.017 (0.007) | (0.002, 0.030) | 0.008 (0.007) | (−0.006, 0.021) |
Random imputation for infection times y based on the estimated Weibull .
Prior distribution for infection times y: Weibull(α, λ), where α ∼ LogNorm(1.31, 0.4) and λ ∼ LogNorm(3.51, 0.5).