Table 2.

Tests of condition on tobacco use at 6-months follow-up (T₃) under varying methods for the handling missing data

			95% Conf. Interval
Analysis Assumptions	Estimate	S.E.	Lower	Upper	Test Statistic ^a	p
Multiple Imputation
OR = 0.5	−.309	.102	−.509	−.109	−3.04	.0025
OR = 1	−.283	.107	−.493	−.074	−2.65	.0082
OR = 3	−.284	.105	−.490	−.078	−2.71	.0068
OR = 5	−.295	.109	−.509	−.081	−2.70	.0070
OR = ∞ (Missing = Use)^b	−.323	.107	−.533	−.113	−3.02	.0026
Missing = Tobacco Use	−.325	.107	−.534	−.115	9.24	.0024
Last Observation Carried Forward	−.386	.097	−.575	−.197	15.95	<.0001
Complete Case	−.648	.124	−.891	−.404	27.17	<.0001
EM Imputation, Method 1	−.592	.084	−.757	−.426	49.11	<.0001
Method 1 without Condition	−.284	.084	−.449	−.120	11.47	.0007
EM Imputation, Method 2	−.629	.084	−.794	−.464	55.79	<.0001
Method 2 without Condition	−.375	.084	−.538	−.211	20.09	<.0001
EM Imputation, Method 3	−.668	.084	−.833	−.502	62.66	<.0001
Method 3 without Condition	−.477	.084	−.642	−.313	32.32	<.0001
EM Imputation with Readiness to Quit	−.261	.082	−.422	−.100	10.18	.0014

Note. OR is the odds ratio that describes the relationship between tobacco use and missingness. All analyses had 2523 cases except for Complete Case which had 1126.

Multiple imputation analyses provided t values (df ≥ 598). All other analyses provided Wald χ² values with a single degree of freedom.

As an approximation to OR = ∞, which represents missing=use, we set OR = 100.