SelectedWorks - Shuangge Ma

Contact

Selected Works of Shuangge Ma

Department of Biostatistics

Shuangge (Steven) Ma, Associate Professor of Biostatistics, Yale University. Research interests: Bioinformatics; Survival analysis; Semiparametric methods; Cancer study; Health economics.

Works
About

×

About Shuangge Ma

Shuangge (Steven) Ma, Associate Professor of Biostatistics, Yale University. Research interests: Bioinformatics; Survival analysis; Semiparametric methods; Cancer study; Health economics.

Present	Computational Biology and Bioinformatics, Yale University
Institution Organization Position Type Position Title Time Period to Options Current Position Affiliate my profile with this Institution
Present	Department of Biostatistics, Yale University
Institution Organization Position Type Position Title Time Period to Options Current Position Affiliate my profile with this Institution

Bioinformatics, Biostatistics, Statistical Methodology, and Survival Analysis

60 College ST, LEPH 209
New Haven, CT 06510
(203) 785-3119

Unpublished Paper

A penalized robust semiparametric approach for gene-environment interactions

In genetic and genomic studies, gene-environment (G*E) interactions have important implications. Some of the existing G$\times$E interaction methods are limited ...

Unpublished Paper

Deciphering the associations between gene expression and copy number alteration ...

Both gene expression levels (GEs) and copy number alterations (CNAs) have important implications in the development of complex diseases. GEs ...

Unpublished Paper

Measures for the degree of overlap of gene signatures and ...

For cancer and many other complex diseases, a large number of gene signatures have been generated. In this study, we ...

Unpublished Paper

Penalized Integrative Analysis of High-dimensional Omics Data

Unpublished Paper

Integrative Analysis of High-throughput Cancer Studies with Contrasted Penalization

In cancer studies with high-throughput genetic and genomic measurements, integrative analysis provides a way to effectively pool and analyze heterogeneous ...

Unpublished Paper

Integrative Analysis of Prognosis Data on Multiple Cancer Subtypes

In cancer research, profiling studies have been extensively conducted, searching for genes/SNPs associated with prognosis. Cancer is diverse. Examining similarity ...

Unpublished Paper

Identification of Gene-environment Interactions in Cancer Prognosis Studies Using Penalization

High-throughput cancer studies have been extensively conducted, searching for genetic risk factors independently associated with prognosis beyond clinical and environmental ...

Unpublished Paper

Incorporating Network Structure in Integrative Analysis of Cancer Prognosis Data

In high-throughput cancer genomic studies, markers identified from the analysis of single datasets may have unsatisfactory properties because of low ...

Unpublished Paper

Integrative analysis of multiple cancer genomic datasets under the heterogeneity ...

Unpublished Paper

Risk factors of follicular lymphoma

Unpublished Paper

Relative Risk Regression in Medical Research: Models, Contrasts, Estimators, and ...

UW Biostatistics Working Paper Series (2006)

Thomas Lumley, Richard Kronmal and Shuangge Ma

The relative risk or prevalence ratio is a natural and familiar summary of association between a binary outcome and an ...

Unpublished Paper

Promoting similarity of model sparsity structures in integrative analysis of ...

In profiling studies, the analysis of a single dataset often leads to unsatisfactory results because of the small sample size. ...

Unpublished Paper

Health Insurance Coverage and Impact: A Survey in Three Cities ...

Unpublished Paper

Health insurance coverage, medical expenditure and coping strategy: Evidence from ...

Unpublished Paper

Impact of illness and medical expenditure on household consumptions: a ...

Integrative Analysis of Cancer Genomic Data

The 57th Session of the International Statistical Institute (2009)

In the past decade, we have witnessed a period of unparallel development in the field of cancer genomics. To address ...

A Tale of Two Streets: Incorporating grouping structure in high ...

Data Mining and Business Intelligence Conference (2009)