International Journal of Mathematics and Mathematical Sciences / 2024 / Article / Tab 2 / Research Article
Gaussian Copula Regression Modeling for Marker Classification Metrics with Competing Risk Outcomes Table 2 Empirical bias, standard error (SE), and mean square error (MSE) of the estimators of the parametric Gaussian copula regression model for simulations generated from Student
copula, with sample sizes 200 and 400 and censoring distributions
and
.Sample size and censoring Parameters Bias SE MSE censoring −0.1377 0.9418 0.9060 0.0026 0.0871 0.0076 0.0266 0.1092 0.0126 −0.0138 0.7599 0.0577 0.0050 0.0613 0.0038 −0.0876 0.3737 0.1473 −0.0260 0.0774 0.0067 −0.0084 0.2302 0.0531 −0.0151 0.2874 0.0828 0.0008 0.0908 0.0082 −0.0063 0.0678 0.0046 0.0103 0.1062 0.0114 censoring 0.0665 0.7295 0.5366 −0.0177 0.0710 0.0054 0.0211 0.0886 0.0083 0.0519 0.5557 0.3115 0.0091 0.0423 0.0019 −0.2629 0.3089 0.1646 −0.0759 0.0651 0.0100 −0.0193 0.1820 0.0335 0.0156 0.2148 0.0464 −0.0125 0.0619 0.0040 0.0057 0.0479 0.0023 −0.0017 0.0849 0.0072 censoring 0.0109 0.9646 0.9307 −0.0154 0.0934 0.0090 0.0280 0.1148 0.0140 0.0264 0.7735 0.5990 −0.0061 0.0677 0.0046 −0.2373 0.4156 0.2290 −0.0634 0.0860 0.0114 0.0379 0.2350 0.0567 −0.0492 0.3089 0.0979 −0.0048 0.0940 0.0089 0.0054 0.0670 0.0045 −0.0101 0.1153 0.0134 censoring −0.0146 0.6337 0.4018 −0.0038 0.0636 0.0041 0.0164 0.0678 0.0049 0.0106 0.4484 0.2012 −0.0025 0.0418 0.0018 −0.0818 0.2821 0.0863 −0.0208 0.0586 0.0039 0.0084 0.1624 0.0264 −0.0032 0.1945 0.0378 −0.0083 0.0610 0.0038 −0.0048 0.0462 0.0022 0.0063 0.0759 0.0058