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. Author manuscript; available in PMC: 2014 Feb 26.
Published in final edited form as: Ann Appl Stat. 2013 Mar;7(1):543–569. doi: 10.1214/12-AOAS599

Table 4.

Simulation results under exposure enriched sampling with all E = 1 in phase I data are selected in phase II for both cases and controls. We consider two association scenarios 1) G1⊥E, G1⊥G2, and G2⊥E association, 2) G1⊥E, G1 ~ G2, and G2 ~ E. The results are based on 1,000 replicated datasets, each with 1,000 cases and 1,000 controls in phase I and 600 cases and 600 controls in phase II. The approaches listed, TPFB, TPFBemp, WL, PL, UML, CML, and EB where each represents Two-phase full Bayes (with empirically obtained prior variance), Weighted likelihood, Pseudolikeliohod, Unconstrained Maximum likelihood, Constrained Maximum Likelihood, and Empirical Bayes respectively. The CML imposes G1-E and G1–G2 independence, however, no constraints on G2-E association. We set (βE, βG1G2, βG1E, βG2E) = (−1.5, 0, log(2), log(2)) for all scenarios. The rows with smallest two sum(MSE) are in bold.

G1E, G1G2, G2E G1E, G1~G2, G2~E


Stratified sampling (a) E G1 × G2 G1 × E G2 × E Sum (MSE) E G1 × G2 G1 × E G2 × E Sum (MSE)
G1G2, λG1E, λG2E) = (0, 0, 0) G1G2, λG1E, λG2E) = (log(2), 0, log(1.5))
TPFB Bias −0.024 −0.017 0.020 −0.017 −0.056 0.166 −0.022 0.119
(MSE) (0.093) (0.044) (0.120) (0.135) (0.392) (0.117) (0.081) (0.091) (0.122) (0.411)
TPFBemp Bias 0.007 −0.019 −0.021 −0.062 −0.033 0.043 −0.029 0.026
(MSE) (0.089) (0.025) (0.111) (0.126) (0.351) (0.113) (0.064) (0.091) (0.120) (0.388)
WL Bias −0.038 −0.025 0.043 0.009 −0.038 0.011 0.011 0.006
(MSE) (0.099) (0.058) (0.144) (0.157) (0.458) (0.105) (0.057) (0.101) (0.121) (0.384)
PL Bias −0.038 −0.026 0.043 0.009 −0.038 0.011 0.011 0.006
(MSE) (0.098) (0.056) (0.144) (0.157) (0.455) (0.105) (0.056) (0.101) (0.121) (0.383)
UML Bias −0.093 −0.026 0.043 0.009 −0.096 0.011 0.011 0.006
(MSE) (0.110) (0.056) (0.144) (0.157) (0.467) (0.116) (0.056) (0.101) (0.121) (0.394)
CML Bias −0.085 −0.020 0.026 0.003 −0.100 0.700 0.011 0.009
(MSE) (0.099) (0.025) (0.083) (0.155) (0.362) (0.112) (0.520) (0.070) (0.116) (0.818)
EB Bias −0.087 −0.025 0.036 0.004 −0.099 0.089 0.010 0.008
(MSE) (0.099) (0.036) (0.099) (0.155) (0.389) (0.112) (0.069) (0.075) (0.116) (0.392)

All subjects with E = 1 in case and control are sub-sampled for phase II.

The combined MSEs as summed over all four parameters.

TPFB uses the informative prior N (0, 10−2) on G-G and G-E associations in the model (2.2)

TPFBemp uses the prior N (0, θ̂2) on G-G and G-E associations in the model (2.2) where θ̂2 is empirically estimated G-G or G-E association parameter under controls.