|
|
|
1 ( )2 |
3 |
Expos. ratio |
ni |
σ2 |
IP/FCP/CP/RCP |
GEE |
theory |
Constant 3:3 |
6 |
0 |
0.141 (0.133) |
0.138 (0.133) |
0.141 |
|
|
0.5 |
0.125 (0.118) |
0.121 (0.118) |
0.124 |
|
|
1.0 |
0.112 (0.113) |
0.106 (0.113) |
0.109 |
|
|
2.0 |
0.090 (0.091) |
0.082 (0.091) |
0.085 |
|
6-42 |
0 |
0.070 (0.069) |
0.068 (0.069) |
0.070 |
|
|
0.5 |
0.063 (0.058) |
0.060 (0.059) |
0.062 |
|
|
1.0 |
0.056 (0.054) |
0.054 (0.055) |
0.055 |
|
|
2.0 |
0.046 (0.044) |
0.043 (0.047) |
0.043 |
Constant 1:5 |
6 |
0 |
0.181 (0.176) |
0.178 (0.176) |
0.181 |
|
|
0.5 |
0.161 (0.144) |
0.155 (0.144) |
0.159 |
|
|
1.0 |
0.144 (0.136) |
0.135(0.136) |
0.141 |
|
|
2.0 |
0.117 (0.118) |
0.107 (0.118) |
0.110 |
|
6-42 |
0 |
0.090 (0.092) |
0.088 (0.092) |
0.090 |
|
|
0.5 |
0.081 (0.082) |
0.076 (0.082) |
0.080 |
|
|
1.0 |
0.072 (0.074) |
0.068 (0.074) |
0.070 |
|
|
2.0 |
0.059 (0.057) |
0.054 (0.060) |
0.055 |
|
|
|
IP |
FCP/CP |
RCP |
GEE |
RCP_bw |
Varying |
6 |
0 |
0.141 (0.141) |
0.154 (0.153) |
0.142 (0.142) |
0.136 (0.142) |
0.154 (0.153) |
|
0.5 |
0.126 (0.180) |
0.138 (0.141) |
0.135 (0.141) |
0.130 (0.141) |
0.138 (0.141) |
|
1.0 |
0.113 (0.213) |
0.123 (0.124) |
0.122 (0.123) |
0.115 (0.122) |
0.123 (0.124) |
|
2.0 |
0.091 (0.293) |
0.099 (0.107) |
0.099 (0.107) |
0.090 (0.107) |
0.099 (0.107) |
|
6-42 |
0 |
0.070 (0.069) |
0.089 (0.089) |
0.071 (0.068) |
0.067 (0.069) |
0.089 (0.090) |
|
0.5 |
0.063 (0.186) |
0.080 (0.085) |
0.079 (0.083) |
0.075 (0.083) |
0.080 (0.085) |
|
1.0 |
0.057 (0.272) |
0.072 (0.074) |
0.071 (0.073) |
0.067 (0.074) |
0.072 (0.074) |
|
2.0 |
0.047 (0.405) |
0.058 (0.060) |
0.058 (0.060) |
0.054 (0.066) |
0.058 (0.060) |
Exposure ratio=ratio of number of exposed to control subjects in a cluster; Varying ratio means the exposure ratios vary randomly from cluster to cluster; ni=number of subjects in a cluster; σ2=between cluster variance; IP=Independent Poisson model; FCP=Fixed Cluster Poisson model; CP=Conditional likelihood Poisson estimation; GEE-Generalized Estimating Equations with empirical standard error; RCP=Random Cluster effects Poisson model; RCP_bw=Random Cluster effects Poisson model where the within- and between- cluster effects were separated.
1 , average of procedure standard errors across 500 samples
2 , standard deviation of the 500 estimates of β
3 , theoretical standard error in (4) calculated from expected information |