Skip to main content

Table 2 Parameter estimates and standard errors in hierarchical logistic regression

From: Impact of communities, health, and emotional-related factors on smoking use: comparison of joint modeling of mean and dispersion and Bayes’ hierarchical models on add health survey

Estimates Hierarchical logistic Bayes’ Hierarchical logistic Joint GLM Joint GAM
  Estimates p-value Estimates p-value Estimates p-value Estimates p-value
Intercept 0.451 0.057 0.25 0.055 0.3853 0.0003*** 0.597 0.009**
Arrested 0.677 <.001*** 0.709 <.001*** 0.677 <.001*** 0.606 <.001***
Race 0.461 <.001*** 0.584 <.001*** 0.63 <.001*** 0.523 <.001***
Drug 1.221 <.001*** 1.183 <.001*** 1.235 <.001*** 1.066 <.0001***
TV time 0.007 0.027* 0.007 0.005** 0.008 <.001*** 0.008 0.008**
Mistreatment 0.309 0.011** 0.293 0.003** 0.33 <.001*** 0.214 0.07
Religion -0.299 0.007*** -0.293 <.001*** -0.31 <.001*** -0.281 0.001***
Alcohol 0.541 <.001*** 0.544 <.001*** 0.577 <.001*** 0.420 <.001***
Kid 0.208 0.017*** 0.208 0.002** 0.245 <.001*** 0.231 0.006**
Public work -0.27 0.002** -0.28 <.001*** -0.302 <.001*** -0.268 0.002**
Starting age -0.006 <.001*** -0.006 <.001*** -0.007 <.001*** -0.007 <.001***
Education -0.473 <.001*** -0.509 <.001*** -0.497 <.001*** -0.484 <.001***
Income -0.074 <.001*** -0.234 <.001*** -0.073 <.001*** -0.087 <.001***
Gender -0.144 0.1149 -0.17 0.031 -0.18 <.001*** -0.166 0.063
Sports -0.486 <.001*** -0.493 <.001*** -0.436 <.001*** -0.47 <.001***
Insurance -0.15 0.177 -0.189 0.029* -0.158 0.002** -0.144 0.186
Routine check -0.111 0.207 -0.103 0.113 -0.11 0.006** -0.078 0.369
Attitude future -0.152 0.095 -0.16 0.046* -0.152 0.001*** -0.143 0.112
Social relation 0.065 0.482 0.102 0.062 0.096 0.024** 0.058 0.526
Job 0.102 0.274 0.082 0.098 0.078 0.070 0.12 0.195
Covariance Parameters
var[Intercept] 0.099 0.023 0.009 <.001*** N/A   N/A  
var[Arrested] 0.116 0.025 0.118 <.001*** N/A   N/A  
cov[int & Slope] 0.028 0.027 0.03 <.001*** N/A   N/A  
  1. *p<0.05, **p<0.05, ***p<0.05