Table 3.

Results of regression models using unadjusted and kurtosis-adjusted CNE to estimate ${\bar{HTL}}_{346}$ shift among 178 non-G exposed workers

Model 0: ${\bar{HTL}}_{346} = b_{0} + b_{1} Age$					r²=0.239	F=55.27
	Coefficients		t Stat	P-value	B Lower 95%	B Upper 95%
	B	Beta	t Stat	P-value	B Lower 95%	B Upper 95%
Intercept	-69.82		-5.33	<0.0001	-95.67	-43.97
Age	0.55	.28	3.95	0.0001	0.27	0.82
Model 1: ${\bar{HTL}}_{346} = b_{0} + b_{1} Age + b_{2} CNE$					r²=0.350	F=47.21
	Coefficients		t Stat	P-value	B Lower 95%	B Upper 95%
	B	Beta	t Stat	P-value	B Lower 95%	B Upper 95%
Intercept	-69.82		-5.33	<0.0001	-95.67	-43.97
Age	0.55	.28	3.95	0.0001	0.27	0.82
CNE	0.80	.39	5.48	<0.0001	0.51	1.08
Model 2: ${\bar{HTL}}_{346} = b_{0} + b_{1} Age + b_{2} Adjusted CNE$					r²=0.386	F=55.04
	Coefficients		t Stat	P-value	B Lower 95%	B Upper 95%
	B	Beta	t Stat	P-value	B Lower 95%	B Upper 95%
Intercept	-69.23		-6.18	<0.0001	-91.36	-47.11
Age	0.40	.21	2.84	0.005	0.12	0.68
Adjusted CNE	0.80	.48	6.48	<0.0001	0.56	1.04

Note: CNE and (Kurtosis) Adjusted CNE are defined by Equations (2) and (3) in the text. B: unstandardized coefficients; Beta: Standardized coefficients.