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. 2015 Dec 13;35(11):1880–1906. doi: 10.1002/sim.6835

Table 4.

Comparison of allele score methods for correlated instrumental variables (IVs).

α R 2 F Allele score using individual‐level data Allele score using summarized data
Positive causal effect: β X=0.2
β U=+1 0.05 0.019 6.3 0.201 (0.116) [43.3] 0.201 (0.129) [34.9]
0.10 0.062 22.2 0.201 (0.058) [87.2] 0.201 (0.065) [84.2]
0.20 0.201 85.8 0.200 (0.029) [99.9] 0.200 (0.033) [99.8]
β U=−1 0.05 0.019 6.3 0.202 (0.117) [39.4] 0.202 (0.107) [48.0]
0.10 0.062 22.2 0.199 (0.058) [91.8] 0.199 (0.053) [93.2]
0.20 0.201 85.8 0.200 (0.029) [100.0] 0.200 (0.027) [100.0]
Null causal effect: β X=0
β U=+1 0.05 0.019 6.3 0.001 (0.116) [4.4] 0.001 (0.116) [4.8]
0.10 0.062 22.2 0.000 (0.058) [4.7] 0.000 (0.058) [4.8]
0.20 0.201 85.8 0.000 (0.029) [5.1] 0.000 (0.029) [5.0]
β U=−1 0.05 0.019 6.3 −0.002 (0.116) [4.3] −0.002 (0.117) [4.8]
0.10 0.062 22.2 0.000 (0.058) [5.0] −0.001 (0.058) [5.0]
0.20 0.201 85.8 0.000 (0.029) [5.1] 0.000 (0.029) [5.2]

Median estimates over 10000 simulations of β X=0.2 or β X=0 (median standard errors) [power (%) based on nominal 95% confidence interval] from simulation study with 15 correlated IVs varying direction of confounding (β U) and average strength of IV (α; strength is also expressed by the mean values of the R 2 and F statistics) using allele score methods calculated from individual‐level and summarized data, with equal weights.