Table 3.
Model | HRa | log SE | 95% CICb | Bias (log scale)c |
---|---|---|---|---|
Dichotomous exposure with misclassified immortal time | 0.84 | 0.029 | 0.000 | −0.177 |
Dichotomous exposure with exclusion of immortal person-time | 0.93 | 0.030 | 0.348 | −0.074 |
Time-varying exposure | ||||
Ever/never treated | 1.02 | 0.030 | 0.919 | 0.016 |
8-month treatment window | 1.01 | 0.032 | 0.946 | 0.012 |
12-month treatment window | 1.01 | 0.031 | 0.938 | 0.014 |
Landmark model | ||||
8-month landmark | 1.00 | 0.038 | 0.946 | −0.001 |
12-month landmark | 1.00 | 0.038 | 0.955 | −0.001 |
Clone-censor-weight method | ||||
8-month treatment window | 1.00 | 0.029 | 0.949 | 0.001 |
12-month treatment window | 1.00 | 0.028 | 0.948 | −0.003 |
Abbreviation: CIC, confidence interval coverage.
aMean HR across all 1,000 plasmode simulation datasets.
bProportion of 95% CIs that include the true HR of 1.00.
cDifference between the log average HR across the 1,000 plasmode datasets and the true log HR (0); larger absolute numbers indicate more bias. Negative bias makes surgical resection appear more protective, positive bias makes surgical resection appear more harmful. In our example, since the true log HR is 0, bias equals the log of the average HR. In simulations where the true HR is not null (1.00), this will not be the case.