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Table 1 Probit/log-skew normal model for weekly LRT scores. Parameter estimates (standard errors) n= 190.

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

  Final Model (LRT)
  probit log-skew-normal
β0 -0.635(0.285)** 0.298(0.263)
βasthamatic 0.598(0.104)*** 0.096(0.089)
βmale 0.024(0.078) -0.129(0.076)*
βage -0.027(0.031) 6.2e-3(0.028)
βweek -0.050(0.005)*** -3.0e-3(0.008)
βweek*week 8.5e-4(0.9e-4) *** 3.5e-4(1.0e-4)***
βvirus 2.459(0.126)*** 0.744(0.057)***
βage*week - -2.0e-3(0.7e-3)***
βasthamatic*week -6.4e-3(2.6e-3)** -
σ   0.666(0.049)***
δ   -0.952(0.100)***
s11 1.023(0.183)***  
s22   0.214(0.041)***
s21   0.267(0.077)***
-2 Log Likelihood 14056  
   AIC 14098  
   BIC 14166  
* p-value < 0.10 ** p-value < 0.05 *** p-value < 0.01