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

Table 6 Results of Simulations for Scenario 4

	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

Abbreviations ASR Adjusted sequence ratio, CCO Case-crossover, IRR Incident rate ratio, OR Odds ratio, SCCS Self-controlled case series, SSA Sequence symmetry analysis