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Table 2 Simulation Results from 200 simulation runs. Fitted model is probit-log-skew-normal.

From: A probit- log- skew-normal mixture model for repeated measures data with excess zeros, with application to a cohort study of paediatric respiratory symptoms

PROBIT component β < α 1
(negatively skewed)
β = α 2
(symmetric)
  Bias MSE 4 Bias MSE
Intercept (-1)3 0.0303 0.0128 0.0054 0.0116
βViral Infection (2.5) -0.0186 0.0130 -0.0064 0.0112
s11 (1) -0.0927 0.0243 -0.0914 0.0235
Log-beta component     
Intercept (-20)     
βViral Infection (0.75) 0.0004 0.0050 -0.0090 0.0055
s22 (0.2) -0.0059 0.0010 -0.0085 0.0012
s12 (0.2) -0.0167 0.0028 -0.0199 0.0033
  1. 1. β = 70, α = 130
  2. 2. β = α = 100
  3. 3. Numbers in parentheses refer to true parameter values
  4. 4. Mean Square Error (MSE)