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. Author manuscript; available in PMC: 2018 Jun 27.
Published in final edited form as: Biometrics. 2017 Sep 28;74(2):517–528. doi: 10.1111/biom.12773

Table 2.

Simulation results: probability of rejecting the null hypothesis that the treatment benefit across subgroups is equivalent by the HTB test.

Setting 1. Four region means = (1, 0.5, −1, −0.5).

W X1 V U1
N = 800
PM 0.16 0.05 0.03 0.02
Q-learning 0.18 0.06 0.03 0.03
O-learning 0.21 0.05 0.03 0.03
ABLO 0.42 0.07 0.05 0.06

N = 1600
PM 0.52 0.05 0.05 0.02
Q-learning 0.61 0.05 0.04 0.02
O-learning 0.71 0.04 0.04 0.02
ABLO 0.84 0.05 0.05 0.03

Setting 2. Four region means = (1, 0.3, −1, −0.3).

N = 800
PM 0.12 0.03 0.02 0.02
Q-learning 0.17 0.04 0.03 0.04
O-learning 0.15 0.03 0.03 0.03
ABLO 0.34 0.06 0.04 0.05

N = 1600
PM 0.42 0.06 0.04 0.03
Q-learning 0.56 0.07 0.04 0.03
O-learning 0.57 0.07 0.03 0.03
ABLO 0.74 0.10 0.04 0.05
*

W has strong signal; X1 has weak signal; V and U1 have no signal.