| | |
Treatment Prevalence According to Study
|
50% Treatment Prevalence
|
30% Treatment Prevalence
|
---|
OR
|
SD c
|
SD b
|
Across
|
Preferential
|
Random
|
Within
|
Across
|
Preferential
|
Random
|
Within
|
Across
|
Preferential
|
Random
|
Within
|
---|
|
(σ1j)
|
(σ0j)
|
Study
|
Study
|
Effect
|
Study
|
Study
|
Study
|
Effect
|
Study
|
Study
|
Study
|
Effect
|
Study
|
---|
3
|
0.04
|
0.7
|
0.04
|
0.09
|
0.12
|
0.10
|
0.02
|
0.03
|
0.02
|
0.02
|
0.03
|
0.03
|
0.03
|
0.03
|
| |
1.4
|
0.07
|
0.12
|
0.17
|
0.15
|
0.03
|
0.03
|
0.04
|
0.03
|
0.04
|
0.04
|
0.05
|
0.05
|
| |
2.1
|
0.14
|
0.16
|
0.33
|
0.25
|
0.05
|
0.05
|
0.05
|
0.05
|
0.07
|
0.08
|
0.07
|
0.09
|
|
0.08
|
0.7
|
0.05
|
0.07
|
0.13
|
0.11
|
0.02
|
0.03
|
0.02
|
0.02
|
0.03
|
0.03
|
0.03
|
0.03
|
| |
1.4
|
0.07
|
0.12
|
0.18
|
0.14
|
0.04
|
0.03
|
0.04
|
0.03
|
0.05
|
0.04
|
0.05
|
0.05
|
| |
2.1
|
0.14
|
0.17
|
0.34
|
0.25
|
0.05
|
0.05
|
0.05
|
0.05
|
0.06
|
0.08
|
0.06
|
0.08
|
1.5
|
0.04
|
0.7
|
0.04
|
0.07
|
0.12
|
0.12
|
0.02
|
0.03
|
0.03
|
0.02
|
0.03
|
0.03
|
0.03
|
0.03
|
| |
1.4
|
0.07
|
0.12
|
0.17
|
0.16
|
0.04
|
0.06
|
0.05
|
0.06
|
0.04
|
0.05
|
0.04
|
0.06
|
| |
2.1
|
0.12
|
0.20
|
0.33
|
0.32
|
0.05
|
0.06
|
0.05
|
0.06
|
0.07
|
0.08
|
0.07
|
0.09
|
|
0.08
|
0.7
|
0.05
|
0.08
|
0.12
|
0.12
|
0.02
|
0.03
|
0.03
|
0.02
|
0.02
|
0.03
|
0.03
|
0.03
|
| |
1.4
|
0.06
|
0.13
|
0.16
|
0.16
|
0.05
|
0.06
|
0.05
|
0.06
|
0.04
|
0.05
|
0.04
|
0.06
|
| |
2.1
|
0.13
|
0.19
|
0.32
|
0.32
|
0.06
|
0.06
|
0.05
|
0.06
|
0.06
|
0.08
|
0.07
|
0.09
|
- OR indicates pooled odds ratio used for simulation
- cSD is the standard deviation, σ1j of study specific random slope, u1j
- bSD is the standard deviation, σ0j, of study specific random intercept, u0j
- Across-study indicates consideration of Single-level logit model with across-study matching
- Prefer-study indicates consideration Single-level logit model with preferential-within study matching
- Random-effect indicates consideration of Random-effect logit model with across-study matching
- Within-study indicates consideration of Single-level logit model with within-study matching