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Integrative interaction analysis using threshold gradient directed regularization

Li, Yang; Li, Rong; Qin, Yichen; Wu, Mengyun; Ma, Shuangge - In: Applied Stochastic Models in Business and Industry 35 (2018) 2, pp. 354-375

Persistent link: https://www.econbiz.de/10012272378

Impact of the new health care reform on hospital expenditure in China : a case study from a pilot city

Yang, Jinqiu; Hong, Yongmiao; Ma, Shuangge - In: China economic review : an international journal 39 (2016), pp. 1-14

Persistent link: https://www.econbiz.de/10011771641

Robust Semiparametric Microarray Normalization and Significance Analysis

Ma, Shuangge; Kosorok, Michael R.; Huang, Jian; Xie, Hehuang - In: Biometrics 62 (2006) 2, pp. 555-561

Persistent link: https://www.econbiz.de/10010946861

Additive Risk Models for Survival Data with High-Dimensional Covariates

Ma, Shuangge; Kosorok, Michael R.; Fine, Jason P. - In: Biometrics 62 (2006) 1, pp. 202-210

Persistent link: https://www.econbiz.de/10010946924

Regularized Estimation in the Accelerated Failure Time Model with High-Dimensional Covariates

Huang, Jian; Ma, Shuangge; Xie, Huiliang - In: Biometrics 62 (2006) 3, pp. 813-820

Persistent link: https://www.econbiz.de/10010947270

Combining Multiple Markers for Classification Using ROC

Ma, Shuangge; Huang, Jian - In: Biometrics 63 (2007) 3, pp. 751-757

Persistent link: https://www.econbiz.de/10010947616

Integrative analysis of prognosis data on multiple cancer subtypes

Liu, Jin; Huang, Jian; Zhang, Yawei; Lan, Qing; … - In: Biometrics 70 (2014) 3, pp. 480-488

Persistent link: https://www.econbiz.de/10010947858

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Kosorok, Michael R.; Ma, Shuangge - In: Journal of the American Statistical Association 100 (2005) September, pp. 805-807

Persistent link: https://www.econbiz.de/10005238800

Identification of breast cancer prognosis markers via integrative analysis

Ma, Shuangge; Dai, Ying; Huang, Jian; Xie, Yang - In: Computational Statistics & Data Analysis 56 (2012) 9, pp. 2718-2728

In breast cancer research, it is of great interest to identify genomic markers associated with prognosis. Multiple gene profiling studies have been conducted for such a purpose. Genomic markers identified from the analysis of single datasets often do not have satisfactory reproducibility. Among...

Persistent link: https://www.econbiz.de/10010871455

Additive risk model with case-cohort sampled current status data

Ma, Shuangge - In: Statistical Papers 48 (2007) 4, pp. 595-608

Persistent link: https://www.econbiz.de/10008533775