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Table 6 Results of Simulations for Scenario 4

From: A comparison of estimators from self-controlled case series, case-crossover design, and sequence symmetry analysis for pharmacoepidemiological studies

  Settings Results of simulations
Methods (Effect measures) α TR β TR Mean of estimates (Ratio scale) Bias (Log scale) Empirical standard error Mean squared error Mean standard error Coverage (%)
SCCS (IRR) log(1.001) log(1.0) 3.00 0.0007 0.0579 0.0034 0.0585 95.3
CCO (OR)    3.07 0.0232 0.1213 0.0152 0.1198 94.7
SSA (ASR)    3.01 0.0044 0.1693 0.0287 0.1680 95.0
SCCS (IRR) log(1.0) log(1.001) 3.00 0.0006 0.0569 0.0032 0.0574 95.0
CCO (OR)    3.03 0.0111 0.1245 0.0156 0.1225 94.6
SSA (ASR)    3.01 0.0030 0.1487 0.0221 0.1464 94.7
SCCS (IRR) log(1.001) log(1.001) 3.79 0.2341 0.0318 0.0558 0.0314 0.0
CCO (OR)    3.07 0.0241 0.0665 0.0050 0.0676 94.4
SSA (ASR)    3.00 −0.0007 0.1053 0.0111 0.1035 94.9
  1. Abbreviations ASR Adjusted sequence ratio, CCO Case-crossover, IRR Incident rate ratio, OR Odds ratio, SCCS Self-controlled case series, SSA Sequence symmetry analysis