BMC Medical Research Methodology

Table 2 Parameter estimates between standard analysis and pooled analysis with different pool sizes for a binary outcome with a matched design. See Results section for detailed simulation setting. In addition, model-based SE (ModelSE), the Monte Carlo Standard Error (EmpSE) and coverage (nominal: 0:95) are also shown

From: Addressing data privacy in matched studies via virtual pooling

Parameters	Unpooled	Pooled
Parameters	Unpooled	g = 4	g = 6	g = 10
β = 0.3
Estimate	0.301	0.303	0.307	0.336
EmpSE	0.014	0.022	0.028	0.077
ModelSE	0.014	0.022	0.029	0.060
Coverage	0.958	0.956	0.964	0.964
γ = 0.2
Estimate	0.202	0.204	0.207	0.234
EmpSE	0.077	0.101	0.128	0.219
ModelSE	0.076	0.100	0.122	0.199
Coverage	0.954	0.956	0.944	0.952
δ= 0.15
Estimate	0.149	0.150	0.150	0.165
EmpSE	0.037	0.049	0.062	0.104
ModelSE	0.037	0.049	0.060	0.098
Coverage	0.952	0.958	0.952	0.960
ω = 0.09
Estimate	0.088	0.088	0.091	0.104
EmpSE	0.050	0.067	0.080	0.134
ModelSE	0.049	0.063	0.076	0.123
Coverage	0.964	0.936	0.942	0.954
ϑ = 0.05
Estimate	0.050	0.051	0.051	0.054
EmpSE	0.013	0.018	0.023	0.039
ModelSE	0.013	0.018	0.022	0.037
Coverage	0.954	0.944	0.952	0.944

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ISSN: 1471-2288

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