Table 4.

Simulation results under the SW-TND setting. For the log-contrast estimator (with equal or optimal weight), GLMM estimator, and GEE estimator, we report its average bias (Bias), standard error estimates (SE), average of the standard error estimators (ESE), probability of rejecting the null hypothesis (PoR), and coverage probability (CP). The bias, SE, and ESE are on the log scale

	Estimators	Bias	SE	ESE	PoR	CP
$\lambda =1(\log \lambda =0)$	Log-contrast (equal weight)	0.00	0.21	0.20	0.06	0.94
	Log-contrast (optimal weight)	0.00	0.18	0.18	0.05	0.95
	GLMM	0.01	0.10	0.08	0.10	0.90
	GEE	0.06	0.06	0.07	0.11	0.89
$\lambda =0.6(\log \lambda =-0.51)$	Log-contrast (equal weight)	0.00	0.21	0.20	0.70	0.94
	Log-contrast (optimal weight)	0.00	0.18	0.18	0.80	0.95
	GLMM	0.02	0.10	0.08	1.00	0.89
	GEE	0.06	0.06	0.07	1.00	0.87
$\lambda =0.2(\log \lambda =-1.61)$	Log-contrast (equal weight)	0.00	0.21	0.20	1.00	0.94
	Log-contrast (optimal weight)	0.00	0.18	0.18	1.00	0.95
	GLMM	0.03	0.11	0.10	1.00	0.91
	GEE	0.07	0.06	0.08	1.00	0.89