BMC Medical Informatics and Decision Making

Table 1 Loglinear model results for last name/first name block

From: A practical approach for incorporating dependence among fields in probabilistic record linkage

		Model 0		Model I		Model II
		(Conditional independence)
Field	Parameter	Estimate	Std Error	Estimate	Std Error	Estimate	Std Error
	π	0.037	0.0004	0.035	0.0004	0.035	0.0004
Year of birth	m ₁	0.581	0.0047	0.615	0.0048	0.615	0.0048
SSN	m ₂	0.025	0.0011	0.027	0.0011	0.026	0.0011
Day of birth	m ₃	0.572	0.0046	0.608	0.0048	0.608	0.0048
Telephone	m ₄	0.173	0.0029	0.141	0.0026	0.140	0.0026
Zip code	m ₅	0.409	0.0041	0.363	0.0040	0.362	0.0040
Sex	m ₆	0.710	0.0037	0.695	0.0038	0.694	0.0038
Month of birth	m ₇	0.716	0.0044	0.768	0.0044	0.769	0.0045
Year of birth	u ₁	0.026	0.0002	0.026	0.0002	0.026	0.0002
SSN	u ₂	6E-06	8E-06	1E-05	9.00E-06	5E-05	1E-05
Day of birth	u ₃	0.032	0.0003	0.031	0.0003	0.031	0.0003
Telephone	u ₄	5E-04	0.0001	0.002	0.0001	0.002	0.0001
Zip code	u ₅	0.037	0.0003	0.039	0.0003	0.039	0.0003
Sex	u ₆	0.661	0.0006	0.661	0.0006	0.661	0.0006
Month of birth	u ₇	0.082	0.0004	0.081	0.0004	0.081	0.0004
G²		8852.9		2974.26		2881.45

Loglinear model results for MCHD data blocked on last name and first name (Number of record pairs = 618,213). All parameters are statistically significant (p < .001) for all three models, except for u₂ which is not significant for conditional independence model (p = .468) or Loglinear Model I (p = .143).

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ISSN: 1472-6947

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