case_images: PMC4022339_01
case_images: State transition diagram of the age-dependent Markov model that captures the disease condition dynamics for chlamydial infection and curing at discrete age point
  i
  = 0, 1, ...,
  N
  - 1.
case_images: 2043-9113-4-7-2.jpg
case_images: PMC4022339_01_2043-9113-4-7-2.jpg
case_images: F2
case_images: For the estimation, we first developed an age-dependent Markov state-transition model that depicts the disease condition dynamics for each female individual (Figure 2).
case_images: State transition diagram of the time-varying Markov model that captures the disease dynamics with first-time chlamydial infection, curing, and repeated infection. Note that the risks of chlamydial infection for the first time and repeated infection are different; and the sexual behaviors before and after the first-time infection are different as well.
case_images: 2043-9113-4-7-3.jpg
case_images: PMC4022339_01_2043-9113-4-7-3.jpg
case_images: F3
case_images: We therefore extended the above Markov state-transition model (Figure 3).