Table 5.
Stage of infection | Distribution | Parameters |
---|---|---|
Latent period-baseline (t0–t1) | (a) Binomial | (a) N = 58, p = 0.04 |
(b) Normal | (b) μ = 2.31, σ = 1.40 | |
Latent period-adjusted (t0–t1) | (a) Binomial | (a) N = 97, p = 0.02 |
(b) Log-logistic | (b) μ = 0.65, σ = 0.28 | |
Subclinical period (t1–t2) | (a) Binomial | (a) N = 66, p = 0.02 |
(b) Normal | (b) μ = 1.48, σ = 1.10 | |
Incubation period-baseline (t0–t2) | (a) Binomial | (a) N = 103, p = 0.03 |
(b) Inverse Gaussian | (b) μ = 3.36, λ = 16.97 | |
Incubation period-adjusted (t0–t2) | (a) Binomial | (a) N = 35, p = 0.06 |
(b) Normal | (b) μ = 2.03, σ = 0.71 | |
Duration of infection (t1–t3) | (a) Poisson | (a) λ = 5.19 |
(b) Log-logistic | (b) μ = 1.50, σ = 0.40 |
Baseline and adjusted values correspond to results of the accelerated failure time model. Definition of parameter values by distribution: binomial – N = number of Bernoulli trials, p = probability of success; normal – μ = mean, σ = standard deviation; Log-logistic – μ = scale, σ = shape; Inverse Gaussian – μ = mean, λ = shape; and Poisson – λ = mean number of events per interval.