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Table 5 Estimated random intercept variance from mixed logistic regression model (Gauss-Hermite estimation)

From: Binomial outcomes in dataset with some clusters of size two: can the dependence of twins be accounted for? A simulation study comparing the reliability of statistical methods based on a dataset of preterm infants

 

Death 4 covar.

Death 2 covar.

Perc. Twins

Random inter. var

Random inter. var

 

0.5

1

2

0.5

1

2

2%

0.60

0.45

0.32

0.69

0.60

0.36

 

(2.54)

(2.05)

(1.39)

(2.85)

(0.74)

(1.92)

5%

0.96

0.84

0.79

1.01

0.73

0.76

 

(3.21)

(2.78)

(2.46)

(3.45)

(1.27)

(2.90)

10%

1.25

1.33

1.39

1.24

1.24

1.20

 

(3.73)

(3.75)

(3.47)

(3.85)

(3.65)

(3.27)

20%

1.37

1.58

1.86

1.19

1.50

1.84

 

(3.55)

(3.58)

(3.69)

(3.33)

(3.53)

(3.67)

 

O2 dep. 4 covar

O2 dep 2 covar

2%

0.08

0.08

0.10

0.06

0.07

0.08

 

(0.23)

(0.10)

(0.10)

(0.08)

(0.08)

(0.09)

5%

0.15

0.16

0.21

0.10

0.13

0.17

 

(0.44)

(0.31)

(0.31)

(0.16)

(0.19)

(0.20)

10%

0.19

0.26

0.36

0.14

0.21

0.30

 

(0.43)

(0.46)

(0.46)

(0.24)

(0.35)

(0.34)

20%

0.23

0.37

0.59

0.20

0.32

0.53

 

(0.34)

(0.45)

(0.54)

(0.25)

(0.32)

(0.43)

  1. Mean value over all sample sizes (Standard deviation)