However, in the last case, a stochastic model with transition probability should be considered.
We set the length of the Markov cycle to three months; and populated the model with transition probabilities and average cycle costs.
Figure 1 details the alternative treatment strategies and Markov model, with transition between states limited to the direction illustrated by arrows.
Results of the character state reconstruction using the AsymmMK model with transition rates estimated by Mesquite 2.71 [ 60] are displayed in Figure 5.
A simple, two-state Markov model with transition rates of (30 days -1 allows for widays -1hallowsvariation in the time spent in adherence states, including occasional longer intervals spent in states that foror drug resistance.
To characterize the outcome of a history of selection, we calculate the distribution of + and - alleles by drawing from the equilibrium probabilities of state according to a Markov model with transition probabilities characterized by the solution of selection-diffusion equations.
One approach might be to use a continuous "time" Markov model with transition probabilities p ≤ e Qt, where Q is a common 36 × 36 rate matrix and t is in an interval-specific measure of recombination.
All the details of the cohort data simulation and the procedures and scenarios chosen are given in Appendix A. We simulated the cohort data referring to an "illness-death" model with transition intensities λ 12 t, λ 13 t and λ 23 t.
The relative occupancy of the different configurations was calculated using a Master equation model, with transitions between configurations carried out by the binding of the enzyme RP, to a single domain or two adjacent domains.
We examined the presence of the Moho transition layer by calculating synthetic seismograms (Fig. 4) for models with a transition layer thickness ranging between 0.4 and 1.2 km using the E3D finite difference method (Larsen and Schultz, 1995).
