. Author manuscript; available in PMC: 2021 Dec 1.

Published in final edited form as: Expo Health. 2019 Sep 5;12(4):617–628. doi: 10.1007/s12403-019-00320-0

Table 5:

Logistic Regression with GEE^* of Detectable t,t-MA by Days of Cleanup (Non-Smokers: Cotinine ≤50 ng/ml) (N=679)

Weeks of Study	Days of Cleanup	Odds Ratio of Detectable t,t-MA (95%CI)
Weeks of Study	Days of Cleanup	Univariable Model	Model 1	Model 2	Model 3
Week 1.1	Day 2-4	1.00 (Ref)	1.00 (Ref)	1.00 (Ref)	1.00 (Ref)
Week 1.2	Day 5-7	0.74 (0.47-1.17)	0.97 (0.57-1.64)	0.66 (0.41-1.09)	0.84 (0.48-1.44)
Week 2	Day 8-14	0.49 (0.28-0.85)	0.85 (0.46-1.57)	0.45 (0.25-0.79)	0.74 (0.40-1.40)
Week 3-4	Day 15-28	0.19 (0.07-0.54)	0.40 (0.13-1.20)	0.19 (0.07-0.52)	0.32 (0.11-0.93)
P-Trend		<0.001	0.077	<0.001	0.041

Model 1: Adjusted by Urinary Creatinine and Age

Model 2: Adjusted by Urinary Cotinine and Age

Model 3: Adjusted by Urinary Creatinine, Cotinine and Age

Generalized Estimating Equation with Exchangeable Correlation Structure

Bold numbers indicate statistically significant results. (P<0.05)