Type of missingness | Analysis | Regression coefficients | ||
---|---|---|---|---|
Intercept estimate (standard error (SE)) P | Baseline blood pressure estimate (SE) P | Outcome blood pressure estimate (SE) P | ||
No missing values | Complete case analysis | −2.48 (4.69) 0.60 | 1.013 (0.025) <0.0001 | −50.8 (1.48) P < 0.0001 |
Missing completely at random (MCAR) | Multiple imputation | −6.11 (5.72) P = 0.29 | 1.037 (0.030) P < 0.0001 | −51.5 (1.78) P < 0.0001 |
Maximum likelihood | −6.85 (5.17) P = 0.18 | 1.041 (0.028) P < 0.0001 | −51.2 (1.68) P < 0.0001 | |
Missing at random (MAR) (outcome) | Multiple imputation | −2.60 (5.15) P = 0.61 | 1.014 (0.028) P < 0.0001 | −51.0 (1.70) P < 0.0001 |
Maximum likelihood | −2.75 (5.08) P = 0.59 | 1.015 (0.027) P < 0.0001 | −51.2 (1.65) P < 0.0001 | |
Missing at random (MAR) (baseline blood pressure) | Multiple imputation | −6.09 (5.37) P = 0.26 | 1.026 (0.029) P < 0.0001 | −51.1 (2.16) P < 0.0001 |
Maximum likelihood | −5.49 (5.41) P = 0.31 | 1.026 (0.032) P < 0.0001 | −50.2 (2.18) P < 0.0001 | |
Not missing at random (MNAR) (outcome blood pressure) | Multiple imputation | −8.64 (5.07) P = 0.089 | 1.026 (0.028) P < 0.0001 | −47.5 (1.99) P < 0.0001 |
Maximum likelihood | −8.13 (5.61) P = 0.15 | 1.026 (0.032) P < 0.0001 | −47.6 (2.09) P < 0.0001 |