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. Author manuscript; available in PMC: 2013 Jun 12.
Published in final edited form as: J Subst Abuse Treat. 2010 Sep 15;40(1):3–17. doi: 10.1016/j.jsat.2010.07.010

Table 3.

Statistical Power Estimates

Method N WA β1 Avg. Est. β1 St. Bias β1 Coverage β1 C β1 Power D β1 Power E β1 Power WA β1 Power
LCPMM 150 -.214 -.2312 .1071 .920 .113 .169 .113 .382
250 -.214 -.2266 .1057 .937 .336 .076 .346 .539
353 -.214 -.2337 .1916 .926 .460 .085 .093 .678
450 -.214 -.2296 .1710 .926 .546 .093 .100 .755
LGM 150 -.214 -.2311 .1196 .943 - - - .411
250 -.214 -.2270 .1124 .925 - - - .589
353 -.214 -.2352 .2158 .916 - - - .737
450 -.214 -.2307 .2026 .919 - - - .799

Notes: LCPMM = Latent Class Pattern Mixture Model. LGM = Latent Growth Model. WA β1 = Weighted-averaged treatment effect on the in-treatment slope. C β1 = Completers treatment effect on the in-treatment slope (60% of the population). D β1 = Dropouts treatment effect on the in-treatment slope (20% of the population). E β1 = Erratics treatment effect on the in-treatment slope (20% of the population). Avg. Est. = Average Estimate across 1000 replications. St. Bias = Standardized Bias (values above .40 indicate problematic bias; Collins et al., 2001). Coverage = values below .90 indicate problematic coverage rates.