Table 5.
Coefficient estimates (posterior log-hazard ratios) and 95% credible intervals from piecewise exponential proportional hazards model for breast cancer mortality in the Long Island Breast Cancer Study Project under different missing data assumptions.
| Posterior estimate of β (95% credible interval) | ||||
|---|---|---|---|---|
| Variable | Complete Casea (n=499) |
MARb (n=1461) |
NMARc (n=1461) |
|
| Change in bodyweight | ||||
| >5% loss | 2.15 (1.30, 3.09) | 1.98 (1.39, 2.61) | 1.98 (1.40, 2.59) | |
| 5–10% gain | 0.00 (−1.57, 1.37) | −0.13 (−1.40, 0.96) | −0.17 (−1.44, 0.90) | |
| >10% gain | 0.50 (−0.77, 1.72) | 1.25 (0.39, 2.06) | 1.03 (0.12, 1.87) | |
| Chemotherapy treatment | 0.85 (0.05, 1.69) | 1.09 (0.56, 1.62) | 1.10 (0.57, 1.64) | |
| ER positive tumor | −0.20 (−1.10, 0.72) | −0.38 (−0.85, 0.09) | −0.39 (−0.86, 0.09) | |
| PR positive tumor | −0.50 (−1.34, 0.37) | −0.41 (−0.85, 0.05) | −0.41 (−0.87, 0.04) | |
| Tumor size > 2cm | 1.01 (0.32, 1.68) | 1.06 (0.66, 1.45) | 1.06 (0.67, 1.46) | |
| Age at diagnosis | 0.01 (−0.03, 0.04) | 0.02 (0.00, 0.03) | 0.01 (0.00, 0.03) | |
a
Excludes subjects with missing data on one or more covariates.
b
Specifies model for distribution of missing covariates.
c
Specifies model for distribution of missing covariates and missing data indicator for change in bodyweight. Precision 10−6 on beta.