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. Author manuscript; available in PMC: 2019 Feb 20.
Published in final edited form as: Stat Med. 2017 Oct 19;37(4):611–626. doi: 10.1002/sim.7534

Table 2.

Simulation results for mean square errors (MSE) defined in Section 4. Displayed are the MSE obtained from our proposed method (labeled as Propose), the approach using random-intercept model (labeled as NAIVE1) and the method of assuming independence across three processes (labeled as NAIVE2). The “CE” denotes the conditional expectation E{Yi(t)/Pi(t)|Ci(1)=1,Pi(t)>0.5}.

Method MSE
Propose 0.660
μC1(t) NAIVE1 0.810
NAIVE2 0.672

Propose 0.955
μC2(t) NAIVE1 1.015
NAIVE2 0.976

Propose 0.340
μP(t) NAIVE1 0.478
NAIVE2 0.352

Propose 5.500
μY1(t) NAIVE1 7.362
NAIVE2 5.605

Propose 0.403
μY2(t) NAIVE1 0.971
NAIVE2 0.418

Propose 9.361
CE NAIVE1 15.222
NAIVE2 13.951