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Your search keyword '"Shia, BenChang"' showing total 11 results
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11 results on '"Shia, BenChang"'

3. Parameter estimation and variable selection via ArctanLASSO

Author

Shia BenChang, Qin Lei, and Yang Jing

Subjects
Mathematical optimization, Lasso (statistics), Estimation theory, Bayesian information criterion, General Mathematics, Applied mathematics, Estimator, Feature selection, Linear approximation, Minimax, Smoothing, Statistics::Computation, Mathematics
Abstract

Motivated by SICA (smooth integration of counting and absolute deviation) method, this paper proposes a class of concave penalties called ArctanLASSO (Arctangent least absolute shrinkage and selection operator) based on arctangent function. The ArctanLASSO is an alternative smoothing method from $L_0$ to $L_1$ penalty which can be used for simultaneous variable selection and coefficient estimation. The $n^{1/2}$ consistency and oracle property are proved for the ArctanLASSO estimator. An efficient iterate algorithm by LLA (local linear approximation) and coordination descent method is proposed with tuning parameter chosen via the BIC (Bayesian information criterion) criterion. Simulation analysis shows that ArctanLASSO estimator is similar to SICA, and has comparable performance in estimate accuracy and better performance in variable selection than LASSO, SCAD (smoothly clipped absolute deviation), MCP (minimax concave penalty) and adaptive LASSO. The method is meaningful for selecting the significant variables in the empirical analysis.

Published
2016

11. Risk factors and specific cancer types of second primary malignancies in patients with breast cancer receiving adjuvant radiotherapy: a case-control cohort study based on the SEER database.

Author

Xia C, Qin L, Wang Y, Yao L, Shia B, and Wu SY

Abstract

Patients with breast cancer can survive and live a long, cancer-free life; however, late complications of treatment, such as second primary malignancies (SPMs), have emerged as a competing cause of death and morbidity. We conducted a long-term population-based cohort study to identify the risk factors for SPMs and specific secondary cancer types after various latency periods of irradiated breast cancer. Cox proportional hazards regression was used to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) for independent risk factors for SPM. We also calculated the HR of each specific cancer type and the latency time to specific SPMs. The risk of SPM was statistically significantly higher in patients with adjuvant RT than in patients without adjuvant RT (adjusted HR [aHR]: 1.105, 95% CI: 1.013-1.206). Compared with the control group, the case group had significantly increased risks of contralateral breast cancer (aHR: 1.268, 95% CI: 1.112-1.445), lung cancer (aHR: 1.218, 95% CI: 1.049-1.565), and urinary system cancer (aHR: 1.702, 95% CI: 1.140-2.543). Adjuvant RT for breast cancer increases the risk of SPM. Contralateral breast cancer, lung cancer, and bladder cancer were significant SPMs after breast RT, although the cumulative risk of SPM was low, at approximately 6, 10, and 13 cancers per 1000 women with irradiated breasts at latency periods of 5, 10, and 15 years, respectively, after breast RT., Competing Interests: None., (AJCR Copyright © 2022.)

Published
2022

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