Fig. 4
From: Primary and metastatic tumor dormancy as a result of population heterogeneity
Parametrically heterogeneous logistic growth model with respect to growth rate parameter c. Parameter of truncated exponential distribution on the interval c ∈ [0, 1] is taken to be μ = 120, initial population size is N(0) = 0.001, K = 1. a Variations in the value of parameter μ determine time to escape from dormancy, which is (b) accompanied by increase in the expected value E t[c] and (c) increase and stabilization in variance Var t[c]. Noticeably, the higher the value of μ and the later the onset of the escape phase, the higher the variance at the steady state