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. Author manuscript; available in PMC: 2016 Mar 1.
Published in final edited form as: Biometrika. 2014 Dec 24;102(1):151–168. doi: 10.1093/biomet/asu050

Table 1.

Mean (s.e.) cross-validated days on log sale using different working models for C, with working model for T being a Cox regression model with basis (X, A, XA)

Working model for C Mean (s.e.) Cross-validated Values
Cox Q L2Q ICO DRO
Cox model, basis (X, A, XA) 5·061 (0·381) 5·234 (0·578) 5·258 (0·575) 5·339 (0·404) 5·257 (0·526)
Kaplan–Meier 5·061 (0·381) 5·002 (0·621) 5·000 (0·632) 5·473 (0·166) 5·446 (0·273)

s.e., standard errors; Cox, Cox model; Q: inverse censoring weighted Q-learning; L2Q, inverse censoring weighted L2 Q-learning; ICO, inverse censoring weighted outcome weighted learning with linear kernel; DRO, doubly robust outcome weighted learning with linear kernel.