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. Author manuscript; available in PMC: 2021 Jul 1.
Published in final edited form as: Stat Methods Med Res. 2019 Oct 1;29(7):1891–1912. doi: 10.1177/0962280219877520

Table 4:

Sample sizes and empirical power results for an end-of-study comparison of the DTR recommending only treatments indexed by 1 and that which recommends only treatments indicated by −1. δ is the true standardized effect size as defined in equation (9), r is the common probability of response to first-stage treatment, and ρ is the true exchangeable within-person correlation. n is computed using formula (10) with α= 0.05 and β= 0.2. R refers to a generative model in which response status is independent of all prior outcomes; R+ and R refer to generative models in which response is positively or negatively correlated with Y1, respectively. All violation scenarios assume the R+ generative model, except working assumption A1(c). Results are the proportion of 3000 Monte Carlo simulations in which we reject H0 : cθ = 0 at the 5% level.

Empirical power
A1 and A2 satisfied Violation of A1 Violation of A2
Design δ r ρ n R R+ R A1(a) A1(b) A1(c) True AR(1)
I 0.3 0.4 0.0 698 0.798 0.807 0.803 0.798 0.796
0.3 635 0.819 0.817 0.800 0.820 0.804 0.815 0.780*
0.6 447 0.815 0.862 0.773* 0.865 0.817 0.827 0.728*
0.8 252 0.835 0.925 0.733* 0.840 0.721*
0.6 0.0 698 0.796 0.799 0.806 0.800 0.791
0.3 635 0.808 0.813 0.792 0.824 0.805 0.807 0.775*
0.6 447 0.833 0.856 0.798 0.859 0.831 0.838 0.727*
0.8 252 0.827 0.901 0.758* 0.835
0.5 0.4 0.0 252 0.799 0.801 0.798 0.798 0.801
0.3 229 0.813 0.815 0.797 0.814 0.811 0.814 0.771*
0.6 161 0.824 0.872 0.789 0.868 0.833 0.843 0.742*
0.8 91 0.843 0.931 0.734*§ 0.926 0.839§ 0.725*
0.6 0.0 252 0.796 0.797 0.810 0.792 0.802
0.3 229 0.817 0.815 0.808 0.811 0.823 0.823 0.771*
0.6 161 0.838 0.859 0.790 0.861 0.832 0.837 0.749*
0.8 91 0.835§ 0.896 0.765*§ 0.896 0.859
II 0.3 0.4 0.0 559 0.801 0.801 0.808 0.778* 0.803
0.3 508 0.804 0.813 0.831 0.800 0.797 0.798 0.795
0.6 358 0.817 0.819 0.834 0.807 0.759* 0.788 0.811
0.8 201 0.836 0.814 0.836 0.809 0.792 0.806
0.6 0.0 489 0.804 0.796 0.793 0.736* 0.810
0.3 445 0.797 0.804 0.818 0.758* 0.795 0.780* 0.804
0.6 313 0.824 0.831 0.844 0.793 0.752* 0.770* 0.824
0.8 176 0.845 0.754* 0.776* 0.842
0.5 0.4 0.0 201 0.801 0.800 0.802 0.768* 0.794
0.3 183 0.813 0.800 0.819 0.790 0.813 0.796 0.803
0.6 129 0.814 0.828 0.833 0.810 0.763* 0.799 0.815
0.8 73 0.839 0.841 0.852 0.829 0.795 0.804
0.6 0.0 176 0.807 0.799 0.796 0.733* 0.808
0.3 160 0.816 0.815 0.821 0.767* 0.808 0.802 0.812
0.6 113 0.829 0.830 0.837 0.792 0.765* 0.770* 0.817
0.8 64 0.845§ 0.783*§ 0.789§
III 0.3 0.4 0.0 454 0.806 0.813 0.806 0.782* 0.794
0.3 413 0.815 0.809 0.814 0.789 0.800 0.800 0.775*
0.6 291 0.821 0.811 0.818 0.794 0.783* 0.787* 0.687*
0.8 164 0.824 0.812 0.839 0.812 0.802 0.637*
0.6 0.0 419 0.813 0.814 0.817 0.781* 0.769*
0.3 381 0.823 0.812 0.808 0.776* 0.791 0.795 0.771*
0.6 268 0.823 0.817 0.844 0.807 0.750* 0.754* 0.709*
0.8 151 0.820 0.803 0.784*
0.5 0.4 0.0 164 0.808 0.804 0.795 0.776* 0.802
0.3 149 0.822 0.815 0.827 0.811 0.791 0.805 0.789
0.6 105 0.811 0.810 0.812 0.810 0.798 0.785* 0.698*
0.8 59 0.838 0.823 0.845 0.817§ 0.684*
0.6 0.0 151 0.798 0.809 0.803 0.778* 0.772*
0.3 138 0.812 0.809 0.814 0.800 0.782* 0.799 0.778*
0.6 97 0.803§ 0.812 0.826§ 0.826§ 0.762* 0.774*§ 0.705*§
0.8 55 0.826§ 0.837§ 0.797§
*

Statistically significantly less than 0.8 at the 5% level.

Our data generative model could not accommodate this scenario (see appendix C).

Violation of this working assumption is not applicable when ρ = 0.

§

Fewer than 3000 simulations generated data in which all treatment sequences were observed.