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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 3.

Power simulation results for non-Normal outcomese, varying missingness and effect sizesa

Effect Size Missing Ratesb Standard MKW Test (Deleting all missing data) Extended MKW Test (Partially observed data) Standard MKW Test in original data (assuming no missingness)
Unweighted c Weighted d
0.08 medium 0.26 0.28 0.28 0.57
high 0.15 0.23 0.23 0.55
0.10 medium 0.32 0.41 0.40 0.67
high 0.16 0.33 0.34 0.72
0.12 medium 0.38 0.45 0.47 0.78
high 0.19 0.40 0.41 0.76
0.16 medium 0.43 0.58 0.58 0.89
high 0.24 0.52 0.54 0.89
0.19 medium 0.55 0.73 0.71 0.96
high 0.26 0.60 0.61 0.95
0.26 medium 0.73 0.87 0.89 0.99
high 0.38 0.81 0.79 0.99
0.36 medium 0.85 0.96 0.97 0.998
high 0.52 0.93 0.93 1
a

Simulations based on 1000 replications

b

Medium: M1=40%, M2=M3=30%. High: M1=20%, M2=M3=40%. n1 = n2 = 50.

c

t1 = 1/3, l = 1,2,3

d

t1 = 0.4, t2 = t3 = 0.3

e

X ~ BIN(5,0.5).

Group 1: Y11|X ~ POI(1 + X), Y12|X ~ POI(2 + X)

Group 2: Y22|X ~ POI(1 + X), Y22|X ~ POI(2 + Δ + X)