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. Author manuscript; available in PMC: 2017 Sep 10.
Published in final edited form as: Stat Med. 2016 Mar 21;35(20):3537–3548. doi: 10.1002/sim.6943

Table 1.

Simulation Results with Simple Confounding Structures (True effect size αZ=0.5)

n (p, q) Average α̂Z Monte Carlo SE(α̂Z) Conventional Modeling
Analytic Modeling
Bootstrapping
Average Var^C(α^Z) 95% CI Coverage Average Var^A(α^Z) 95% CI Coverage Average Var^B(α^Z) 95% CI Coverage
500 (10, 0) 0.496 0.117 0.277 100.0 0.117 95.4 0.117 95.3
(10,10) 0.501 0.117 0.281 100.0 0.115 94.7 0.119 95.4

5000 (10, 0) 0.501 0.037 0.086 100.0 0.036 94.2 0.036 94.4
(10, 10) 0.500 0.038 0.086 100.0 0.036 94.1 0.036 94.3
n (p, q) PS Stratification
IPW by PS
Average α̂Z Monte Carlo SE(α̂Z) Average Var^(α^Z) 95% CI Coverage Average α̂Z Monte Carlo SE(α̂Z) Average Var^(α^Z) 95% CI Coverage
500 (10, 0) 0.534 0.107 0.161 99.5 0.501 0.145 0.132 93.3
(10,10) 0.531 0.110 0.163 99.3 0.504 0.151 0.132 91.9

5000 (10, 0) 0.533 0.033 0.050 97.4 0.499 0.046 0.044 94.5
(10, 10) 0.533 0.035 0.05 97.8 0.499 0.047 0.044 93.3

Note: n=sample size; p=# of confounding covariates and q=# of nuisance covariates; 5 strata were used for PS stratification