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Fix mistake with quantiles

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laduplessis committed Aug 27, 2019
1 parent 0b2ca76 commit cf34a88c16d0992f01164b40e660ed84d896a815
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  1. +1 −1 README.md
@@ -381,7 +381,7 @@ We will use a lognormal prior for {% eqinline R_e %}. This is a good prior distr
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For the becoming uninfectious rate we will again use a log normal prior. The inverse of the becoming uninfectious rate is the average infectious period. In some patients an HCV infection only lasts a few weeks, while in others it is a chronic infection lasting for many years. Setting {% eqinline M=0 %} and {% eqinline S=1.25 %} results in the same prior we used for the {% eqinline R_e %}. In terms of the becoming uninfectious rate, this translates to the 95% quantiles for the infectious period falling between 0.128 years (46.67 days) and 11.59 years, with a median of 1 year. We will see later that there is a strong signal in the data for a longer becoming uninfectious period.
For the becoming uninfectious rate we will again use a log normal prior. The inverse of the becoming uninfectious rate is the average infectious period. In some patients an HCV infection only lasts a few weeks, while in others it is a chronic infection lasting for many years. Setting {% eqinline M=0 %} and {% eqinline S=1.25 %} results in the same prior we used for the {% eqinline R_e %}. In terms of the becoming uninfectious rate, this translates to the 95% quantiles for the infectious period falling between 0.0862 years (31.5 days) and 11.59 years, with a median of 1 year. We will see later that there is a strong signal in the data for a longer becoming uninfectious period.

> Set the same prior for **becomeUninfectiousRate** as for **reproductiveNumber** (Log Normal, with M=0.0, S=1.25) ([Figure 18](#fig:bURprior))
>

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