Table 2.
Model 1 | Model 2 | |||||
---|---|---|---|---|---|---|
Log odds | se | OR | Log odds | se | OR | |
Education | −0·011 | 0·005 | 0·989 | 0·068*** | 0·007 | 1·070 |
Education2 | −0·005*** | 0·0004 | 0·995 | |||
Wealth † | 0·318*** | 0·018 | 1·375 | 0·317*** | 0·018 | 1·373 |
Age | 0·055*** | 0·002 | 1·056 | 0·059*** | 0·001 | 1·061 |
Pregnancy (yes=1) | 0·684*** | 0·041 | 1·981 | 0·696*** | 0·039 | 2·005 |
Urbanicity (urban=1) | 0·357*** | 0·042 | 1·429 | 0·339*** | 0·042 | 1·403 |
Intercept | −0·521*** | 0·095 | 0·593 | −0·704*** | 0·083 | 0·494 |
Sample size | 143 258 | |||||
Number of groups | 22 | |||||
Variance components‡ | ||||||
Intercept (τ 00) | 0·29192*** | 0·25004*** | ||||
Education (τ 11) | 0·00090*** | 0·00065*** | ||||
Covariance (τ 10) | −0·01368*** | −0·00979*** |
***P<0·001.
Grand-mean centred variables are italicized.
The significance of variance components indicates whether the random effect can be assumed in intercept and coefficients.