. Author manuscript; available in PMC: 2015 Jul 20.

Published in final edited form as: Stat Med. 2014 Mar 5;33(16):2797–2813. doi: 10.1002/sim.6123

Table 4.

Ever smoking effect on CCA IMT for the adult Chinese (n = 436) subcohort based on an outcome modeling (OM), an inverse-probability-weighting (IPW) and a doubly-robust (DR) approach (with different strategies)

Strategies	Estimate	Standard error	95% CI
OM, Crude	76.40	38.41	(0.90, 151.89)
OM, Full	−13.66	40.69	(−93.40, 66.08)
OM, MA	7.43	42.59	(−76.04, 90.91)
OM, BAC	2.60	40.10	(−76.00, 81.20)

IPW, 1: Full	−70.06	71.86	(−210.91, 70.79)
IPW, 2: MA with *α^X*	−5.59	39.27	(−82.56, 71.39)
IPW, 3: BAC with *α^X*	−2.68	38.85	(−78.81, 73.46)
IPW, 4: MA with *α^Y*	4.40	36.63	(−67.39, 76.20)
IPW, 5: BAC with *α^Y*	−10.94	39.51	(−88.37, 66.50)

DR, 1: Full	−36.24	81.82	(−196.60, 124.12)
DR, 2: MA with (*α^X, α^Y*)	−24.22	39.10	(−100.86, 52.43)
DR, 3: BAC with (*α^X, α^Y*)	−23.59	39.37	(−100.75, 53.57)
DR, 4: MA with (*α^Y, α^Y*)	−10.09	37.89	(−84.36, 64.17)
DR, 5: BAC with (*α^Y, α^Y*)	−17.45	39.10	(−94.09, 59.20)

Refer to Tables 2 and 3 for details and abbreviations.