Table 1.

Bias of IPW estimates under the six choices of (β₁, θ₁) for n = 100, 000 and K = 6. ψ̂_j is the IPW estimate of ψ_j, E [ψ̂_j] is the mean of the estimates ψ̂_j over the 20, 000 simulation runs and Bias(ψ̂_j, ψ_j) = E [ψ̂_j] − ψ_j, j = 0, 1.

β1	θ1	ψ0	E [ψ̂0]	Bias(ψ̂0, ψ0)	ψ1	E [ψ̂1]	Bias(ψ̂1, ψ1)
−2.0	−2.0	−0.8	−0.8056	−0.0056	0.4574	0.4511	−0.0063
−0.5	−0.5	−0.8	−0.8021	−0.0021	0.0583	0.0586	0.0003
0.0	−0.5	−0.8	−0.8011	−0.0011	0	0.0004	0.0004
−0.5	0.0	−0.8	−0.8004	−0.0004	0	0.0002	0.0002
0.5	−2.0	−0.8	−0.7973	0.0027	−0.2064	−0.2047	0.0017
2.0	−2.0	−0.8	−0.7772	0.0228	−0.8676	−0.8709	−0.0033