Table 1

Loglinear model results for last name/first name block
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 m1 0.581 0.0047 0.615 0.0048 0.615 0.0048
SSN m2 0.025 0.0011 0.027 0.0011 0.026 0.0011
Day of birth m3 0.572 0.0046 0.608 0.0048 0.608 0.0048
Telephone m4 0.173 0.0029 0.141 0.0026 0.140 0.0026
Zip code m5 0.409 0.0041 0.363 0.0040 0.362 0.0040
Sex m6 0.710 0.0037 0.695 0.0038 0.694 0.0038
Month of birth m7 0.716 0.0044 0.768 0.0044 0.769 0.0045
Year of birth u1 0.026 0.0002 0.026 0.0002 0.026 0.0002
SSN u2 6E-06 8E-06 1E-05 9.00E-06 5E-05 1E-05
Day of birth u3 0.032 0.0003 0.031 0.0003 0.031 0.0003
Telephone u4 5E-04 0.0001 0.002 0.0001 0.002 0.0001
Zip code u5 0.037 0.0003 0.039 0.0003 0.039 0.0003
Sex u6 0.661 0.0006 0.661 0.0006 0.661 0.0006
Month of birth u7 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).

Daggy et al.

Daggy et al. BMC Medical Informatics and Decision Making 2013 13:97   doi:10.1186/1472-6947-13-97

Open Data