Table 6.

Bias and Relative MSE (in relation to model (a) that respects the design features of a SMART) of estimates from the slope model and the quadratic model. ${\mathrm{\Delta }}_1^{\mathit{\text{AUC}}}$ = the constrast in AUC between DTRs (1, 1) and (1, −1); ${\mathrm{\Delta }}_2^{\mathit{\text{AUC}}}$ = the contrast in AUC between DTRs (−1, ·) and (1, −1). Bias that significantly differs from zero is in bold.

Effect Size	N = 100
	${\mathrm{\Delta }}_1^{\mathit{\text{AUC}}}$				${\mathrm{\Delta }}_2^{\mathit{\text{AUC}}}$
	Bias × 100 Slope	Quad	RMSE Slope	Quad	Bias × 100 Slope	Quad	RMSE Slope	Quad
0	0.1	1.7	1.67	1.87	−5.2	−1.9	0.71	1.55
0.2	−35.4	13.5	1.89	1.73	−19.7	−0.7	0.77	1.48
0.5	−98.6	33.6	2.7	1.6	−50.1	14.9	0.98	1.49
0.8	−161.8	65.6	2.91	1.35	−79	33.9	1.32	1.37

Effect Size	N = 300
	Bias × 100 Slope	Quad	RMSE Slope	Quad	Bias × 100 Slope	Quad	RMSE Slope	Quad
0	0.1	0	1.71	1.71	3.4	5.4	0.72	1.43
0.2	−41	10.7	2.57	1.69	−20.9	6.2	0.85	1.45
0.5	−105.5	25.7	5.17	1.57	−54.5	10.7	1.53	1.44
0.8	−189.2	36	7.87	1.34	−96	17	2.97	1.38