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. Author manuscript; available in PMC: 2018 Feb 5.
Published in final edited form as: Commun Stat Theory Methods. 2017 Apr 7;46(14):7188–7200. doi: 10.1080/03610926.2016.1146767

Table 4.

Power Simulation results for non-Normal outcomesc for 3 groups, 3 outcomes, and varying effect sizesc

Δ1, Δ2 Effect size standard MKW test (Deleting all missing data) extended MKW test (Partially observed data) standard MKW test in original data (with no missing)
unweighted a weighted b
2 2 0.13 0.44 0.48 0.52 0.97
2 2.5 0.18 0.57 0.61 0.63 0.99
2.5 2.5 0.18 0.65 0.69 0.73 0.99
1 3 0.24 0.48 0.50 0.56 0.99
2 3 0.24 0.65 0.69 0.73 0.997
2.5 3 0.24 0.70 0.78 0.80 1
3 3 0.23 0.80 0.85 0.87 1
a

t1 = 1/7, l = 1,…,7.

b

t1 = 0.3, t1 = 0.1, l = 2,…,7.

c

X ~ BIN(5,0.5). Group 1, Y11|X ~ POI(1 + X), Y12|X ~ POI(2 + X), Y13|X ~ POI(3 + X). Group 2, Y21|X ~ POI(1 + X), Y22|X ~ POI(2 + X + Δ1), Y23|X ~ POI(3 + X). Group 3, Y31|X ~ POI(1 + X), Y32|X ~ POI(2 + X), Y33|X ~ POI(3 + X + Δ2).

30% of cases are simulated with all three outcomes observed (M1). Each of 10% of cases are simulated with two outcome observed and one outcome missing (M2, M3 and M4), and each of 10% of cases are simulated with one outcome observed and two outcomes missing (M5, M6 and M7).