Table 4.

Log10 TCPy model chosen by variable selection, with random effects (n = 915)^§.

Fixed effects		Random Effects		Explained variability a
Variables	% change in TCPy (95% CI)	Person	Residuals	$R_m^2$	$R_c^2$
Intercept	0.15*** (0.06, 0.23)	0.04	0.07	0.01	0.37
For each 1-unit increase in chlorpyrifos concentration in air (ng/m3)	1.45* (0.16, 2.75)b
For women working in agriculture	20.8 (−1.94, 48.9)c

^***denotes significance at the 0.001 level

^**the 0.01 level

^*the 0.05 level.

^a${\mathrm{R}}_{\mathrm{m}}^2$ represents variability explained by the fixed effects; ${\mathrm{R}}_{\mathrm{c}}^2$ represents variability explained by both fixed and random effects.

^bThe β estimate for chlorpyrifos reflects % increase in TCPy per ng/m³ increase in the chlorpyrifos air concentration.

^cThe β estimate for women working in agriculture reflects % increase in TCPy expected for women in agriculture compared to those not in agriculture.

^§The unadjusted estimates (95% CI) from the regression for the intercept=0.16 (0.09, 0.23), and for each ng increase in chlorpyrifos concentration=1.46 (0.38, 2.55).