Skip to main content
. 2017 Aug 22;17:129. doi: 10.1186/s12874-017-0404-7

Table 1.

Type I error for each pooling method for simulated data with beta equal to zero for 25% missing data in varying correlations between the variables where Factor1 is categorical and Covar1-Covar4 are continuous

Cor Full data RR MR CHI VAR MPRin MPRout
0.2 Factor 0.057 a 0.019 0.024 0.018 0.065 0.038
covar1 0.056 0.048 0.052 0.057 0.048 0.104 0.028
covar2 0.056 0.056 0.057 0.057 0.056 0.061 0.059
covar3 0.043 0.051 0.057 0.055 0.051 0.063 0.052
covar4 0.070 0.058 0.061 0.063 0.058 0.070 0.052
0.4 Factor 0.057 a 0.020 0.026 0.025 0.065 0.035
covar1 0.056 0.046 0.048 0.052 0.046 0.094 0.030
covar2 0.056 0.051 0.054 0.054 0.051 0.060 0.056
covar3 0.043 0.059 0.063 0.061 0.059 0.070 0.052
covar4 0.070 0.056 0.057 0.056 0.056 0.057 0.055
0.6 Factor 0.061 a 0.026 0.026 0.026 0.068 0.023
covar1 0.058 0.048 0.049 0.051 0.048 0.088 0.031
covar2 0.065 0.055 0.057 0.060 0.055 0.066 0.056
covar3 0.059 0.051 0.054 0.053 0.051 0.058 0.051
covar4 0.063 0.063 0.066 0.066 0.063 0.075 0.064
0.8 Factor 0.057 a 0.026 0.026 0.025 0.077 0.033
covar1 0.056 0.057 0.058 0.058 0.057 0.098 0.019
covar2 0.056 0.058 0.060 0.061 0.058 0.063 0.055
covar3 0.043 0.060 0.061 0.061 0.060 0.070 0.043
covar4 0.070 0.053 0.052 0.054 0.053 0.062 0.059

aFor the categorical variable the p-value could not be obtained by RR; Cor correlation between variables; Full data complete data; RR Rubin’s Rules, MR Meng and Rubin pooling, CHI chi-square test with multiple degrees of freedom, VAR pooled sampling variance method, MPR in Median P Rule with the outcome included in model, MPR out Median P Rule with the outcome excluded from model