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. 2019 Jul 12;10:785. doi: 10.3389/fphar.2019.00785

Table 2.

Comparison of the predictability of state transitions in the adherence data between the logistic and Markov models: Base model development.

State Transition Observed Simulation 1 Simulation 2 Simulation 3 Simulation 4 Simulation 5
Markov model predictions
[11] 201119 200090 199090 200327 200385 200241
[10] 24431 24652 24885 24725 24678 24515
[01] 23986 24392 24617 24459 24407 24237
[00] 62747 63149 63691 62772 62813 63290
Logistic model predictions
[11] 201119 183053 183100 183203 183705 183190
[10] 24431 42070 42115 42099 42006 42043
[01] 23986 41809 41833 41831 41725 41735
[00] 62747 45351 45235 45150 44847 45315

Predicted transitions (counts) from both Markov and Logistic models. Four transitions ([11], [10], [01], [00]) of the predicted adherence data were compared against transitions in the observed data. A total of five simulations were carried out for both models to show the stochastic noise. Transitions predicted by the Markov model were closer to the observed values than the logistic model in all instances.