Skip to main content
. Author manuscript; available in PMC: 2016 Jan 16.
Published in final edited form as: Biometrics. 2015 Jul 20;71(4):895–904. doi: 10.1111/biom.12354

Table 1.

The second column gives the number of treatment options m. The third column gives the set of ϕ functions used in the outcome models. The fourth column specifies the form of the optimal regime πopt (x) = arg maxa ϕ(x, a) where: “linear” indicates that πopt(x) = arg maxa{(1, xTa} for some coefficient vectors βap+1, a ∈ A, “decision list” indicates that πopt is representable as a decision list; and “nonlinear” indicates that πopt(x) is neither linear nor representable as a decision list.

Setting m Expression of ϕ Form of πopt
I 2 ϕ1(x, a) = I(a = 2){3I(x1 ≤ 1, x2 > −0.6) −1} decision list
II 2 ϕ2(x, a) = I(a = 2)(x1 + x2 − 1) linear
III 2 ϕ3(x, a) = I(a = 2) arctan(exp(1+x1) −3x2 −5) nonlinear
IV 2 ϕ4(x, a) = I(a = 2)(x1x2 + x3x4) linear
V 3 ϕ5(x, a) = I(a = 2){4I(x1 > 1) −2} + I(a = 3)I(x1 ≤ 1){2I(x2 ≤ −0.3) −1} decision list
VI 3 ϕ6(x, a) = I(a = 2)(2x1) + I(a = 3)(−x1x2) nonlinear
VII 3 ϕ7(x, a) = I(a = 2)(x1x2)+ I(a = 3)(x3x4) linear