TABLE 1.

Average bias and (mean squared error) of τ_TATE estimates. The scenarios where n₁ = 200 and n₀ = 500 are detailed in Figure 2.

n 0	n 1	Scenario	τ TATE	IOSW	OM	DR	TMLE	MOM	CAL
500	1000	baseline	−0.1	0.03 (0.47)	0.00 (0.09)	0.00 (0.10)	0.00 (0.10)	0.00 (0.33)	0.00 (0.10)
500	1000	missing	−0.1	0.23 (0.48)	0.19 (0.16)	0.19 (0.17)	0.19 (0.17)	0.19 (0.36)	0.19 (0.17)
500	1000	outcome	8.9	−0.03 (0.41)	−1.44 (2.23)	−0.08 (0.72)	−0.03 (0.26)	−0.05 (0.24)	−0.08 (0.20)
500	1000	positivity	−0.3	0.27 (1.51)	−0.01 (0.08)	−0.01 (0.19)	−0.01 (0.38)	0.00 (0.81)	−0.01 (0.19)
500	1000	sample	4.5	0.64 (3.61)	0.00 (0.03)	0.00 (0.05)	−0.02 (0.59)	0.00 (0.06)	0.00 (0.04)
500	1000	sparse	−0.1	0.08 (1.18)	−0.01 (0.11)	−0.01 (0.16)	−0.02 (0.20)	−0.03 (0.63)	−0.01 (0.16)
1000	200	baseline	−0.1	0.15 (2.04)	0.00 (0.14)	0.00 (0.18)	−0.01 (0.18)	−0.02 (1.18)	−0.01 (0.18)
1000	200	missing	−0.1	0.30 (1.94)	0.18 (0.27)	0.20 (0.33)	0.20 (0.33)	0.19 (1.07)	0.20 (0.33)
1000	200	outcome	8.9	−0.10 (1.66)	−1.45 (2.87)	−0.22 (2.87)	−0.15 (1.14)	−0.15 (0.87)	−0.26 (0.76)
1000	200	positivity	−0.3	0.91 (4.80)	0.03 (0.24)	0.05 (0.49)	0.05 (3.10)	0.11 (3.17)	0.08 (0.62)
1000	200	sample	3.2	0.37 (2.63)	−0.01 (0.10)	−0.01 (0.14)	0.07 (1.57)	0.00 (0.20)	−0.01 (0.13)
1000	200	sparse	−0.1	0.31 (4.14)	−0.01 (0.20)	−0.01 (0.37)	−0.01 (0.84)	−0.05 (2.67)	0.00 (0.41)
1000	1000	baseline	−0.1	0.01 (0.48)	0.00 (0.06)	0.00 (0.07)	0.00 (0.07)	−0.02 (0.29)	0.00 (0.07)
1000	1000	missing	−0.1	0.21 (0.46)	0.19 (0.11)	0.19 (0.13)	0.19 (0.13)	0.19 (0.30)	0.19 (0.13)
1000	1000	outcome	8.9	−0.03 (0.43)	−1.41 (2.14)	−0.06 (0.75)	−0.03 (0.23)	−0.05 (0.23)	−0.08 (0.20)
1000	1000	positivity	−0.3	0.19 (1.74)	0.00 (0.06)	0.00 (0.16)	−0.01 (0.31)	−0.01 (0.81)	0.00 (0.16)
1000	1000	sample	4.0	0.78 (4.22)	0.00 (0.02)	−0.01 (0.04)	−0.12 (1.89)	−0.01 (0.04)	−0.01 (0.03)
1000	1000	sparse	−0.1	0.12 (1.03)	−0.01 (0.07)	−0.01 (0.12)	−0.01 (0.14)	0.00 (0.57)	−0.01 (0.11)