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Table 3 Results of Simulations for Scenario 1

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

  Setting Results of simulations
Methods (Effect measures) β X Mean of estimates (Ratio scale) Bias (Log scale) Empirical standard error Mean squared error Mean standard error Coverage (%)
SCCS (IRR) log(1.0) 0.99 -0.0125 0.1354 0.0185 0.1335 95.1
CCO (OR)   1.00 -0.0005 0.2084 0.0434 0.2116 96.1
SSA (ASR)   0.99 -0.0005 0.2373 0.0563 0.2454 96.3
SCCS (IRR) log(3.0) 2.99 -0.0030 0.0791 0.0063 0.0777 94.7
CCO (OR)   3.04 0.0121 0.18 0.0309 0.1732 94.8
SSA (ASR)   3.04 0.0119 0.2016 0.0408 0.2003 95.2
SCCS (IRR) log(10.0) 9.98 -0.0019 0.0438 0.0019 0.0446 95.5
CCO (OR)   10.30 0.0295 0.1663 0.0285 0.1604 94.4
SSA (ASR)   9.97 -0.0026 0.1834 0.0336 0.1817 94.7
  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