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. Author manuscript; available in PMC: 2017 Mar 24.
Published in final edited form as: Biometrics. 2016 Jul 26;73(1):294–304. doi: 10.1111/biom.12564

Table 1.

Meaning of parameters in the dynamical models presented in Figure 1. The upper part gives prior means and standard deviations for normal a priori distributions used for estimation of mechanistic parameters in Model 7 for the ‘Target cell model’. The lower part gives parameter values used for data simulation from the Adams et al. (2005) model.

Normal priors used for analysis*
on the log value of the parameter
Name Description mean sd.
λ Natural production rate cellsμL.day 2.55 1.90
μ T* Natural death rate of T* cells 1day −0.05 0.68
μ Q Natural death rate of Q cells 1day −9.00 1.00
α Transition rates between Q and T cells 1day −4.00 2.00
ρ Transition rates between T and Q cells 1day −4.34 1.38
μ T Virions natural death rate 1day −2.59 0.34
γ Infectivity parameter μLday −5.76 4.02
π Rate of production of virions by infected cells 1day 4.04 2.66
μ V Natural death rate of T* cells 1day 2.83 0.68
Parameter Value used for simulations
for each population (X)
Name Description Units Type 1 Type 2 Effectors Virus
λ X Natural production rate cellsmL.day 5000 31.98 1.0 -
(1-ϵX) Treatment efficacy no unit 50% 83% - -
dX Natural death rate 1day 0.01 0.01 0.25 -
δ X Infection-induced death rate 1day 0.7 0.7 0.1 -
ρ X Number of virions infecting a cell virionscells 1 1 - -
mX Immune-induced clearance rate mLcells.day 1 × 10−5 1 × 10−5 - -
kX Infection rate mLvirions.day 8 × 10−7 1 × 10−4 - -
c Virions natural death rate 1day - - - 13
NT Virions production per infected cells virionscells - - - 100
Kb Saturation constant cells birth cellsmL - - 100 -
Kd Saturation constant cells death cellsmL - - 500 -
bE Infection-induced birth rate for E cells 1day - - 0.3 -
*

Reference and explanation for these choices can be found in Prague et al. (2012).

For each simulated patient, every parameter got a random effect leading to 50% coefficient of variation