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. Author manuscript; available in PMC: 2020 Jul 1.

Published in final edited form as: Lifetime Data Anal. 2018 Dec 17;25(3):546–568. doi: 10.1007/s10985-018-09459-5

Table 2.

Summary statistics from Clayton copula models with different marginal distributions. True data were simulated from Clayton-WB.

	η			β_ng			β_g
Models	Bias	SE	SEE (CP)	Bias	SE	SEE (CP)	Bias	SE	SEE (CP)
	Kendall’s τ = 0.2
Cox-R	-	-	-	0.001	0.021	0.021 (0.942)	0.002	0.076	0.070 (0.936)
Clayton-WB	0.002	0.111	0.111 (0.944)	0.001	0.019	0.019 (0.949)	0.002	0.072	0.067 (0.937)
Clayton-PW	0.046	0.122	0.120 (0.945)	0.000	0.019	0.019 (0.953)	−0.018	0.070	0.068 (0.933)
Clayton-BS	0.004	0.114	0.112 (0.946)	0.001	0.021	0.020 (0.942)	0.001	0.069	0.074 (0.934)
	Kendall’s τ = 0.6
Cox-R	-	-	-	0.003	0.021	0.021 (0.950)	0.005	0.088	0.082 (0.936)
Clayton-WB	0.014	0.302	0.308 (0.953)	0.002	0.010	0.010 (0.952)	0.003	0.069	0.065 (0.952)
Clayton-PW	0.226	0.338	0.343 (0.924)	0.000	0.010	0.010 (0.961)	−0.015	0.067	0.066 (0.950)
Clayton-BS	−0.044	0.336	0.332 (0.937)	0.003	0.014	0.013 (0.964)	0.005	0.081	0.083 (0.933)

Number of replications = 1000, number of subjects = 500, censoring rate = 50%, MAF = 40%.

SE: standard deviation of the point estimate, SEE: mean of the standard error estimates, CP: 95% coverage probability.