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Table 2 Type I Error Probabilities 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 Percentage MCAR MAR MAR/MNAR MNAR
SSSa 10% 0.0920 0.0895 0.0875 0.0895
  40% 0.0945 0.1035 0.1050 0.1115
Modified SSSb (Dawson Weight) 10% 0.0615 0.0580 0.0580 0.0585
  40% 0.0525 0.0520 0.0495 0.0555
Modified SSSb (Population Weight) 10% 0.0600 0.0585 0.0585 0.0585
  40% 0.0535 0.0520 0.0535 0.0540
Modified SSSb (SSTime Weight) 10% 0.0615 0.0590 0.0575 0.0590
  40% 0.0540 0.0535 0.0575 0.0525
Fisherc 10% 0.0495 0.0555 0.0495 0.0510
  40% 0.0495 0.0445 0.0505 0.0460
Weighted Z-Transformd 10% 0.0575 0.0595 0.0580 0.0570
  40% 0.0545 0.0550 0.0525 0.0530
  1. *Type I error, r = .6, n = 100, simulations = 2000
  2. *a, b, c, d indicate the methods of analysis in the text