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. Author manuscript; available in PMC: 2021 Jul 13.
Published in final edited form as: J R Stat Soc Ser A Stat Soc. 2020 Apr 25;183(3):1253–1272. doi: 10.1111/rssa.12567

Table 1.

Simulation results comparing the proposed cSIR method with the standard cancer cluster SIR estimation method (CDC) and a similar Poisson regression approach (PR). Shown are the bias in the point estimate, the coverage rate of the true SIR for 95% confidence/credible intervals (Coverage), and the width of the 95% confidence/credible intervals (CI Width).

True SIR Method Bias Coverage CI Width
Simulation 1 1 CDC −0.00 0.96 0.70
PR 0.20 0.99 4.81
cSIR −0.02 0.94 0.66

Simulation 2 1 CDC 0.55 0.13 0.79
PR −0.27 0.99 5.86
cSIR −0.00 0.95 0.50

Simulation 3 1.5 CDC −0.54 0.09 0.58
PR 1.23 1.00 49.08
cSIR −0.05 0.94 0.87

Simulation 4 1.5 CDC 0.51 0.26 0.83
PR 3.76 0.99 112.96
CSIR −0.01 0.94 0.62