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. Author manuscript; available in PMC: 2017 Mar 24.
Published in final edited form as: Biometrics. 2016 Jul 5;73(1):271–282. doi: 10.1111/biom.12561

Table 2.

Accuracy and precision of estimates of log relative risks, copula parameter, and 10-year penetrances, 𝒫2(10; T1, X), for the second cancer given T1, the first cancer occurred at ages 40 and 50, and gender X, male (M) and female (F), based on 1000 simulations of sample size of 781 families. For each simulation, data were generated assuming Weibull baselines with θ = 0.15, and different baseline distributions assumptions were applied for fitting the data.

Baseline distribution True value No missing genotypes 50% Missing genotypes 80% Missing genotypes



Bias SE RMSE Bias SE RMSE Bias SE RMSE
Weibull β2sex -0.0205 0.0005 0.1843 0.1843 -0.0056 0.1740 0.1741 -0.0064 0.1777 0.1778
β2gene -0.4174 0.0909 0.7302 0.7358 0.0106 0.3273 0.3275 0.0359 0.2362 0.2389
log (γ) -1.8877 -0.0619 0.5002 0.5040 -0.0437 0.4468 0.4490 -0.0256 0.3931 0.3939
Log-logistic β2sex -0.0205 0.0407 0.1861 0.1905 0.0563 0.1794 0.1881 0.0477 0.1750 0.1814
β2gene -0.4174 0.4625 0.7590 0.8889 0.3359 0.3686 0.4987 0.3221 0.2856 0.4305
log (γ) -1.8877 -0.1998 0.5920 0.6248 -0.1972 0.4898 0.5280 -0.1671 0.5635 0.5877
Gamma β2sex -0.0205 -0.0157 0.1929 0.1936 0.0046 0.1756 0.1757 -0.0055 0.1903 0.1904
β2gene -0.4174 0.1431 0.7074 0.7217 0.1021 0.4550 0.4663 0.0620 0.3324 0.3382
log (γ) -1.8877 -0.0864 0.6637 0.6693 -0.0836 0.6775 0.6826 -0.0184 0.4990 0.4993
Piecewise β2sex -0.0205 -0.0206 0.1829 0.1841
β2gene -0.4174 -0.1151 0.3467 0.3653
log (γ) -1.8877 0.0627 0.3350 0.3408
10- year penetrance for the second cancer conditioning on T1 and gender
Weibull 𝒫2(10; 40, M) 0.1243 0.0000 0.0113 0.0113 -0.0006 0.0111 0.0111 0.0001 0.0113 0.0113
𝒫2(10; 40, F) 0.1246 0.0007 0.0192 0.0192 0.0004 0.0176 0.0176 0.0010 0.0179 0.0179
𝒫2(10; 50, M) 0.1350 -0.0107 0.0113 0.0156 -0.0113 0.0111 0.0158 -0.0106 0.0113 0.0155
𝒫2(10; 50, F) 0.1361 -0.0109 0.0192 0.0220 -0.0111 0.0176 0.0208 -0.0105 0.0179 0.0207
Log-logistic 𝒫2(10; 40, M) 0.1243 0.0046 0.0115 0.0124 0.0044 0.0116 0.0124 0.0049 0.0114 0.0124
𝒫2(10; 40, F) 0.1246 0.0015 0.0197 0.0198 -0.0008 0.0187 0.0187 0.0003 0.0182 0.0182
𝒫2(10; 50, M) 0.1350 -0.0061 0.0115 0.0130 -0.0063 0.0116 0.0132 -0.0058 0.0114 0.0128
𝒫2(10; 50, F) 0.1361 -0.0100 0.0197 0.0221 -0.0123 0.0187 0.0224 -0.0112 0.0182 0.0214
Gamma 𝒫2(10; 40, M) 0.1243 -0.0712 0.0171 0.0732 -0.0729 0.0185 0.0752 -0.0748 0.0175 0.0768
𝒫2(10; 40, F) 0.1246 -0.0696 0.0169 0.0716 -0.0724 0.0179 0.0746 -0.0739 0.0169 0.0758
𝒫2(10; 50, M) 0.1350 -0.0819 0.0171 0.0837 -0.0836 0.0185 0.0856 -0.0855 0.0175 0.0873
𝒫2(10; 50, F) 0.1361 -0.0811 0.0169 0.0828 -0.0839 0.0179 0.0858 -0.0854 0.0169 0.0871
Piecewise 𝒫2(10; 40, M) 0.1243 -0.0017 0.0136 0.0137
𝒫2(10; 40, F) 0.1246 0.0004 0.0203 0.0203
𝒫2(10; 50, M) 0.1350 -0.0007 0.0154 0.0154
𝒫2(10; 50, F) 0.1361 0.0018 0.0233 0.0234

SE is empirical standard error; RMSE is root mean square error.