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. Author manuscript; available in PMC: 2012 Mar 1.
Published in final edited form as: Biometrics. 2011 Mar;67(1):86–96. doi: 10.1111/j.1541-0420.2010.01448.x

Table 3.

Model fitting for OCD data using maximum likelihood based on the MLC-D model. “Est.” means point estimates for corresponding parameters, and “95% CI” gives their 95% confidence intervals.

Class 1 Class 2 Class 3
Est. 95% CI Est. 95% CI Est. 95% CI
Measurement part: conditional probabilities

GAD 0.12 (0.05, 0.25) 0.56 (0.42, 0.69) 0.67 (0.57, 0.76)
SAD 0.11 (0.05, 0.20) 0.26 (0.17, 0.37) 0.41 (0.33, 0.50)
Panic 0.10 (0.06, 0.17) 0.03 (0.00, 0.21) 0.48 (0.38, 0.59)
Tics 0.13 (0.07, 0.23) 0.41 (0.30, 0.52) 0.27 (0.20, 0.35)
MDD 0.27 (0.20, 0.36) 0.23 (0.15, 0.35) 0.68 (0.56, 0.77)
Man 0.03 (0.01, 0.09) 0.00 (0.00, 0.04) 0.19 (0.13, 0.27)
GrD 0.16 (0.08, 0.28) 0.48 (0.37, 0.59) 0.59 (0.50, 0.68)
BDD 0.06 (0.02, 0.13) 0.16 (0.09, 0.26) 0.53 (0.43, 0.63)

Mixing part: α parameters

αm 0.49 (0.25, 0.96) 0.40 (0.19, 0.86) 0.38 (0.20, 0.71)
πm 0.38 (0.27, 0.52) 0.32 (0.20, 0.46) 0.30 (0.22, 0.39)
ρmm 0.44 (0.30, 0.59) 0.44 (0.30, 0.59) 0.44 (0.30, 0.59)