. Author manuscript; available in PMC: 2020 Jan 30.

Published in final edited form as: Stat Med. 2017 Dec 18;38(2):175–183. doi: 10.1002/sim.7580

Table 3.

Parameter Estimates (SE) For the Latent Variable Prediction Models

Parameter

Est. for Binary

Est. for Ordinal

Est. for Binary with RE

α₀

−8.30 (0.17)

−10.22 (0.52)

−8.27 (0.18)

α₁(b_ij)

2.68 (0.23)

—

2.77 (0.20)

α₂(b_ij₂)

–

1.93 (0.68)

—

α₃(b_ij₃)

–

4.41 (0.55)

—

θ₀

−3.27 (0.21)

—

−2.89(0.18)

θ₁(y_i,j_−1])

1.11 (0.22)

0.73 (0.27)

1.89 (0.33)

γ₁ (good or average)

—

1.38 (0.16)

—

γ₂ (average or poor)

—

1.87 (0.18)

—

β₁ (acceleration)

1.26 (4.54)

−0.01 (3.77)

7.76 (16.84)

β₂ (deceleration)

86.23 (10.97)

86.28 (12.21)

84.38 (12.62)

β₃ (yaw)

47.39 (5.62)

43.48 (4.99)

49.29 (6.32)

β₄ (lateral acceleration negative)

5.72 (2.16)

7.32 (2.12)

4.11 (2.09)

β₅ (lateral acceleration positive)

19.08 (4.80)

17.52 (4.53)

14.42 (4.11)

λ (RE variance)

—

0.44

0.21

AUC

0.78

0.77

0.78

\sum_{i = 1}^{N} \sum_{j = 1}^{n_{i}} {(y_{i j} - \hat{y_{i j}})}^{2}

102.06

104.56

99.87