Table 4.

Analysis of the data example

Methods		β̂	SE(β̂)	OR	95% CI
CS	int	−2.726	0.390	0.066	(0.030, 0.141)
	PCB	0.035	0.074	1.036	(0.896, 1.198)
	MEDU	−0.425	0.091	0.654	(0.547, 0.781)
	SES	−0.104	0.121	0.902	(0.712, 1.142)
	RACE	−1.680	0.453	0.186	(0.077, 0.453)
	SEX	0.297	0.379	1.346	(0.640, 2.831)
SM	int	−2.469	0.344	0.085	(0.043, 0.166)
	PCB	0.045	0.051	1.046	(0.946, 1.156)
	MEDU	−0.346	0.078	0.707	(0.607, 0.824)
	SES	−0.121	0.113	0.886	(0.710, 1.106)
	RACE	−1.637	0.394	0.195	(0.090, 0.421)
	SEX	−0.045	0.334	0.956	(0.496, 1.840)
WL	int	−2.418	0.265	0.089	(0.053, 0.150)
	PCB	0.020	0.066	1.021	(0.896, 1.163)
	MEDU	−0.318	0.076	0.727	(0.626, 0.845)
	SES	−0.161	0.114	0.851	(0.681, 1.064)
	RACE	−1.570	0.411	0.208	(0.093, 0.465)
	SEX	0.012	0.345	1.012	(0.515, 1.988)
CL	int	−2.419	0.261	0.089	(0.053, 0.148)
	PCB	0.044	0.040	1.045	(0.966, 1.131)
	MEDU	−0.347	0.078	0.707	(0.606, 0.825)
	SES	−0.121	0.112	0.886	(0.711, 1.104)
	RACE	−1.637	0.393	0.195	(0.090, 0.420)
	SEX	−0.046	0.333	0.956	(0.498, 1.835)
SMP	int	−2.390	0.254	0.092	(0.056, 0.151)
	PCB	0.029	0.038	1.029	(0.955, 1.109)
	MEDU	−0.349	0.079	0.705	(0.604, 0.824)
	SES	−0.116	0.112	0.890	(0.714, 1.110)
	RACE	−1.644	0.395	0.193	(0.089, 0.419)
	SEX	−0.051	0.336	0.951	(0.492, 1.836)

Note: The outcome is below-normal IQ scores for children at 7 years of age. PCB is the effect of interest. SES is the socioeconomic status of the family; SEX and RACE are the gender and race of the child. MEDU is the mother’s education level. Continuous covariates including PCB, MEDU, and SES are centered at their means.