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Table 3 Mixed-Effect Regression Model Parameter Estimates for the SF-12v2 PCS and MCS Scores

From: Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry

  Model Effect CCA ML MI
Estimate (SE) CI Width Estimate (SE) CI Width Estimate (SE) CI Width
PCS β 0 37.85 (1.10) 4.32 35.91 (0.86) 3.36 37.72 (0.92) 3.65
β T 12.42 (0.30) 1.18 12.67 (0.27) 1.04 12.57 (0.26) 1.03
β TS −1.03 (0.39) 1.53 −1.35 (0.35) 1.36 −1.34 (0.35) 1.39
MCS β 0 54.20 (1.32) 5.18 50.86 (1.07) 4.19 51.15 (1.07) 4.22
β T −0.24 (0.29) 1.13 0.01 (0.27) 1.06 0.004 (0.25) 0.99
β TS 1.13 (0.38) 1.48 1.34 (0.35) 1.39 1.48 (0.33) 1.32
  1. CCA Complete Case Analysis, ML Maximum Likelihood, MI Multiple Imputation, HBP High Blood Pressure, CI Width Width of the 95% confidence interval, SE Standard Error, Boldface font indicates statistically significant estimates at α = 0.05