Skip to main content
. 2014 Jun 26;14:82. doi: 10.1186/1471-2288-14-82

Table 3.

Mean Square Error (MSE) in log scale (n = 1500)

RR
Prob (Y = 1)
Contamination rate
Association bet Z and Y: Linear
Association bet Z and Y: Linear
Association bet Z and Y: Non-Linear
Association bet Z and Y: Non-Linear
Level of association bet Z and X, Z and Y: Moderate
Level of association bet Z and X, Z and Y: Strong
Level of association bet Z and X, Z and Y: Moderate
Level of association bet Z and X, Z and Y: Strong
  LB RP LB RP LB RP LB RP
1.5
10%
0%
0.025
0.025
0.027
0.027
0.025
0.025
0.024
0.024
2%
0.026
0.025
0.025
0.024
0.036
0.026
0.033
0.026
5%
0.049
0.038
0.045
0.038
0.066
0.044
0.063
0.046
25%
0%
0.008
0.008
0.008
0.008
0.009
0.009
0.008
0.008
2%
0.010
0.010
0.009
0.010
0.011
0.010
0.013
0.012
5%
0.018
0.017
0.019
0.019
0.027
0.020
0.038
0.028
40%
0%
0.004
0.004
0.004
0.004
0.004
0.004
0.004
0.004
2%
0.005
0.005
0.006
0.006
0.006
0.006
0.008
0.007
5%
0.010
0.010
0.013
0.014
0.016
0.014
0.027
0.021
2.0
10%
0%
0.028
0.028
0.027
0.027
0.027
0.027
0.029
0.029
2%
0.040
0.038
0.035
0.035
0.057
0.039
0.053
0.038
5%
0.105
0.085
0.096
0.081
0.134
0.091
0.135
0.093
25%
0%
0.009
0.009
0.010
0.010
0.009
0.009
0.009
0.010
2%
0.012
0.013
0.014
0.014
0.016
0.014
0.018
0.016
5%
0.034
0.031
0.013
0.035
0.051
0.036
0.065
0.047
40%
0%
0.005
0.005
0.005
0.005
0.005
0.005
0.005
0.005
2%
0.007
0.007
0.007
0.008
0.008
0.008
0.011
0.010
    5% 0.018 0.018 0.021 0.022 0.026 0.023 0.039 0.034

Association between Z and X always linear.

LB: Log-Binomial Model.

RP: Robust Poisson.

Mean square error was calculated by taking the sum of the squared bias in log scale and the variances.