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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