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Table 3 The joint effects of time-varying viral load and orthogonal viral load variables on the CD4 cell counts transition rates Markov model

From: Markov modelling of viral load adjusting for CD4 orthogonal variable and multivariate conditional autoregressive mapping of the HIV immunological outcomes among ART patients in Zimbabwe

Transition
Rate λij
Baseline Log-linear
βij
Hazard
exp(βij)
Time-varying viral load (VL) levels VLstates, k
  λij(CD4, 0) VLstates, k \( {P}_{VL(k)}^{\ast } \) VLstates, k \( {P}_{VL(k)}^{\ast } \) State 1 State 2 State 3
State 1 to 2 λ12 0.0192 0.1678 0.1739 1.0827 1.1899 0.0182 0.0161 0.02763
State 1 to 3 λ13 0.2856 − 0.3505 −1.8298 0.7044 0.1604 0.7431 0.4755 1.3939
State 1 to 5 λ15 0.0381 0.5612 0.5131 1.7528 1.6704 0.0245 0.0333 0.0535
State 2 to 1 λ21 0.0114 − 0.6837 0.6186 0.5048 0.8563 0.0168 0.0068 0.0088
State 2 to 3 λ23 0.0404 0.4762 1.0791 1.6099 2.9419 0.0239 0.0261 0.0948
State 2 to 4 λ24 0.0086 − 1.0434 − 0.6853 0.3663 0.5039 0.0283 0.0067 0.0126
State 2 to 5 λ25 0.0551 0.5786 −0.0711 1.7836 0.9314 0.0338 0.0729 0.0416
State 3 to 1 λ31 0.0062 − 1.6657 − 0.5138 0.1891 0.5982 0.0235 0.0055 0.0077
State 3 to 2 λ32 0.0036 0.2016 −0.3475 1.2233 0.7064 0.0039 0.0032 0.0131
State 3 to 4 λ34 0.0079 0.1820 0.1034 1.1996 1.1089 0.0057 0.0069 0.0421
State 3 to 5 λ35 0.0195 0.2806 −0.1784 1.3239 0.8366 0.0156 0.0217 0.0305
  1. model information: −2*log-likelihood = 7227.461; Akaike information criterion = 7337.461