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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

 

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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