Table 3B.

Table 3B Estimated Probabilities Among Matches and Among Nonmatches For Naïve and Nonnaïve Strategy For Scenario 2 (Empirical Datasets) and Scenario 3 (Simulated Datasets − Mean of 50 Runs) Both Using Five Linking Variables

Linking Variables	Pattern		Probability Among Matches (M)			Ratio Naïve/ Nonn ∗	Ratio Nonn/ Truth	Probability Among Nonmatches (U)			Ratio Naïve/ Nonn	Ratio Nonn/ Truth
	var1	var2	Naïve	Nonnaïve	Truth			Naïve	Nonnaïve	Truth
Scenario 2: empirical data
Set of dependent variables
Date of birth of child (var1)	+	+	0.8411	0.8753	NA	0.96	NA	0.000007	0.000073	NA	0.10	NA
Expected date of birth of child (var2)	+	−	0.1090	0.0958		1.14		0.002693	0.002700		1.00
	−	+	0.0442	0.0242		1.83		0.002573	0.002570		1.00
	−	−	0.0057	0.0047		1.22		0.994727	0.994657		1.00
Other variables in model
Date of birth of mother	+		0.0568	0.9892		0.06		0.0002	0.0002		0.99
Zip code of mother	+		0.0580	0.9623		0.06		0.0006	0.0006		1.00
Gender of child	+		0.5327	0.9928		0.54		0.5007	0.5007		1.00
Scenario 3: simulated data
Set of dependent variables
Date of birth of child (var1)	+	+	0.8312	0.8753	0.8751	0.95	1.00	0.000007	0.000062	0.000062	0.11	1.00
Expected date of birth of child (var2)	+	−	0.1149	0.0969	0.0969	1.19	1.00	0.002732	0.002739	0.002739	1.00	1.00
	−	+	0.0474	0.0252	0.0251	1.88	1.00	0.002539	0.002541	0.002541	1.00	1.00
	−	−	0.0066	0.0027	0.0028	2.46	0.94	0.994722	0.994657	0.994657	1.00	1.00
Other variables in model
Date of birth of mother	+		0.0667	0.9872	0.9870	0.07	1.00	0.0002	0.0002	0.0002	1.00	1.00
Zip code of mother	+		0.0689	0.9610	0.9610	0.07	1.00	0.0007	0.0007	0.0007	1.00	1.00
Gender of child	+		0.5395	0.9920	0.9920	0.54	1.00	0.4989	0.4989	0.4989	1.00	1.00

^∗ nonn = nonnaïve.

NA = not applicable.