Table 2.
Simulation results using the proposed model to analyze the data generated from a model with no effects of Markov chains on the outcome (N=178 subjects; R=999 runs).
| Covariate in the joint model | Parameter and true value | Estimate | Bias | SDa | SEb | Coverage probability |
|---|---|---|---|---|---|---|
| Intercept | β0 = -1.45 | -1.49 | -0.04 | 1.88 | 1.90 | 0.97 |
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| x1 (continuous) | β1 = 0.57 | 0.60 | 0.03 | 0.10 | 0.10 | 0.96 |
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| x2 (binary, initial state) | β2 = -0.26 | -0.27 | -0.01 | 0.42 | 0.42 | 0.95 |
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| q12 | α2 = 0.00 | -0.04 | -0.04 | 1.69 | 1.72 | 0.97 |
| w0 | δ20= -0.02 | -0.02 | 0.00 | 0.03 | 0.03 | 0.95 |
| w1 (binary) | δ21= 0.22 | 0.22 | 0.00 | 0.04 | 0.04 | 0.95 |
| w2 (continuous) | δ22= 0.04 | 0.04 | 0.00 | 0.03 | 0.03 | 0.95 |
|
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| q21 | α1= 0.00 | 0.00 | 0.00 | 0.09 | 0.09 | 0.94 |
| v0 | δ10= 1.87 | 1.87 | 0.00 | 0.04 | 0.04 | 0.94 |
| v1 (binary) | δ11= -1.11 | -1.11 | 0.00 | 0.04 | 0.04 | 0.96 |
| v2 (continuous) | δ12= -0.09 | -0.09 | 0.00 | 0.03 | 0.03 | 0.95 |
a
Standard deviation of the point estimates.
b
Standard error, obtained from the squared root of the average of the estimated variance for each run.