Epidemiologic Perspectives & Innovations

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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