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. Author manuscript; available in PMC: 2019 Jan 24.
Published in final edited form as: Stat Methods Med Res. 2017 Dec 28;28(4):1157–1169. doi: 10.1177/0962280217749991

Table 1.

Empirical type I errors (%) for comparing three methods under different scenarios for Poisson response for the simulation study.

First scenario (β1 = 0) Second scenario (β1 = 1)
Sample
Size
μ = 0.5 μ = 1 β0 = 0.5 β0 = 1
Vuong Naive New Vuong Naive New Vuong1 Vuong2 Naive New Vuong1 Vuong2 Naive New
50 0.09 0.05 3.82 0.13 0.60 4.81 0.03 12.84 0.40 4.13 0 26.27 0.50 4.59
100 0.02 0.06 3.95 0.05 0.53 4.64 0.03 13.75 0.40 3.68 0 26.82 0.49 4.94
200 0.05 0.03 4.42 0.05 0.45 4.55 0.01 13.05 0.29 4.06 0 24.64 0.49 4.48
500 0.08 0.06 4.47 0.04 0.49 4.77 0.03 11.14 0.49 4.78 0 21.49 0.73 4.86
1000 0.03 0.03 4.43 0.04 0.54 4.51 0.03 10.02 0.52 4.74 0 17.60 0.65 5.34

Note: In the second scenario, “Vuong1” and “Vuong2” are for the Vuong tests with the alternative zero-inflated Poisson models (3.10) and (3.11), respectively.