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Table 3 Conditional transition probabilities in six clusters based on heterogeneous Markov chain model (M3)

From: Clustering based on adherence data

  Cluster 1 (n = 519)
   Period 1      Period 2   
  0 1 9 Σ   0 1 9 Σ
0 0.027 0.960 0.133 1.000 0 0.095 0.866 0.039 1.000
1 0.034 0.953 0.013 1.000 1 0.115 0.824 0.061 1.000
9 0.117 0.860 0.023 1.000 9 0.051 0.800 0.149 1.000
  Cluster 2 ( n = 309)
   Period 1      Period 2   
  0 1 9 Σ   0 1 9 Σ
0 0.431 0.526 0.043 1.000 0 0.403 0.549 0.048 1.000
1 0.497 0.458 0.045 1.000 1 0.279 0.672 0.049 1.000
9 0.264 0.373 0.364 1.000 9 0.123 0.352 0.519 1.000
  Cluster 3 ( n = 408)
   Period 1      Period 2   
  0 1 9 Σ   0 1 9 Σ
0 0.275 0.684 0.041 1.000 0 0.000 1.000 0.000 1.000
1 0.246 0.690 0.063 1.000 1 0.015 0.978 0.007 1.000
9 0.226 0.598 0.177 1.000 9 0.067 0.933 0.000 1.000
  Cluster 4 ( n = 441)
   Period 1      Period 2   
  0 1 9 Σ   0 1 9 Σ
0 0.285 0.681 0.035 1.000 0 0.191 0.781 0.028 1.000
1 0.163 0.799 0.039 1.000 1 0.273 0.697 0.030 1.000
9 0.202 0.556 0.242 1.000 9 0.261 0.620 0.120 1.000
  Cluster 5 ( n = 433)
   Period 1      Period 2   
  0 1 9 Σ   0 1 9 Σ
0 0.000 1.000 0.000 1.000 0 . . . .
1 0.118 0.853 0.029 1.000 1 . 1.000 . 1.000
9 0.000 1.000 0.000 1.000 9 . . . .
  Cluster 6 ( n = 850)
   Period 1      Period 2   
  0 1 9 Σ   0 1 9 Σ
0 . . . . 0 . . . .
1 . 1.000 . 1.000 1 . 1.000 . 1.000
9 . . . . 9 . . . .
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