Table 5.

Averages and SEs of ρ and the model-based Kendall’ τ when the correct model (13) with various true θ is misspecified to the semiparametric normal model (4) with parameter ρ to estimate.

θ	True Kendall’s	Censoring	ρ			Model-based τ
	τ		ρ̂	SEe	SEm	tau	SEe	SEm
4	0.614	Censoring on T1 only	0.840	0.020	0.014	0.620	0.024	0.016
		Univariate censoring	0.839	0.026	0.021	0.619	0.028	0.022
		Bivariate censoring	0.820	0.033	0.030	0.608	0.033	0.026
2	0.500	Censoring on T1 only	0.696	0.042	0.038	0.490	0.035	0.030
		Univariate censoring	0.685	0.063	0.057	0.487	0.050	0.041
		Bivariate censoring	0.693	0.064	0.057	0.492	0.052	0.043
1	0.333	Censoring on T1 only	0.500	0.060	0.059	0.339	0.044	0.041
		Univariate censoring	0.483	0.076	0.077	0.320	0.056	0.053
		Bivariate censoring	0.493	0.077	0.072	0.327	0.058	0.051
0.5	0.199	Censoring on T1 only	0.313	0.067	0.072	0.209	0.046	0.048
		Univariate censoring	0.291	0.084	0.078	0.194	0.054	0.062
		Bivariate censoring	0.297	0.087	0.079	0.196	0.057	0.064

SE_e, empirical standard errors; SE_m, model-based standard errors,