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Table 3 Power of Methods for Missing Data Percentages (10% and 40%) and Mechanisms

From: A comparison of missing data methods for hypothesis tests of the treatment effect in substance abuse clinical trials: a Monte-Carlo simulation study

Method Missing Rate MCAR MAR MAR/MNAR MNAR
SSSa 10% 0.8370 0.9355 0.9225 0.9355
  40% 0.5705 0.6125 0.5750 0.5600
Modified SSSb (Dawson Weight) 10% 0.8165 0.9000 0.8810 0.8970
  40% 0.4445 0.3755 0.3660 0.3000
Modified SSSb (Population Weight) 10% 0.8240 0.9075 0.8910 0.9075
  40% 0.4990 0.4150 0.4105 0.3850
Modified SSSb (SSTime Weight) 10% 0.8220 0.8675 0.8820 0.8990
  40% 0.4770 0.3075 0.3795 0.3780
Fisherc 10% 0.7655 0.6940 0.6710 0.6855
  40% 0.3240 0.1505 0.1460 0.1195
Weighted Z-Transformd 10% 0.8265 0.9080 0.8965 0.9085
  40% 0.4990 0.4440 0.4355 0.4130
  1. *Power, r = .6, n = 100, simulations = 2000
  2. *a, b, c, d indicate the methods of analysis in the text