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Full-Text Articles in Survival Analysis

Integrative Analysis Of Prognosis Data On Multiple Cancer Subtypes, Shuangge Ma Dec 2012

Integrative Analysis Of Prognosis Data On Multiple Cancer Subtypes, Shuangge Ma

Shuangge Ma

In cancer research, profiling studies have been extensively conducted, searching for genes/SNPs associated with prognosis. Cancer is diverse. Examining similarity and difference in the genetic basis of multiple subtypes of the same cancer can lead to a better understanding of their connections and distinctions. Classic meta-analysis methods analyze each subtype separately and then compare analysis results across subtypes. Integrative analysis methods, in contrast, analyze the raw data on multiple subtypes simultaneously and can outperform meta-analysis methods. In this study, prognosis data on multiple subtypes of the same cancer are analyzed. An AFT (accelerated failure time) model is adopted to describe …


Identification Of Cancer-Associated Gene Pathways From Analysis Of Expression Data, Shuangge Ma Aug 2009

Identification Of Cancer-Associated Gene Pathways From Analysis Of Expression Data, Shuangge Ma

Shuangge Ma

No abstract provided.


Lecture 5, Shuangge Ma Jun 2009

Lecture 5, Shuangge Ma

Shuangge Ma

No abstract provided.


Final Project, Shuangge Ma Jun 2009

Final Project, Shuangge Ma

Shuangge Ma

No abstract provided.


Lecture 4, Shuangge Ma Jun 2009

Lecture 4, Shuangge Ma

Shuangge Ma

No abstract provided.


Lecture 4, Shuangge Ma Jun 2009

Lecture 4, Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 13, Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 13, Shuangge Ma

Shuangge Ma

No abstract provided.


Final Project (Description), Shuangge Ma Jun 2009

Final Project (Description), Shuangge Ma

Shuangge Ma

No abstract provided.


Final Project (Data), Shuangge Ma Jun 2009

Final Project (Data), Shuangge Ma

Shuangge Ma

No abstract provided.


Lecture 3, Shuangge Ma Jun 2009

Lecture 3, Shuangge Ma

Shuangge Ma

No abstract provided.


Lecture 2, Shuangge Ma Jun 2009

Lecture 2, Shuangge Ma

Shuangge Ma

No abstract provided.


Reference: Multiple Imputation, Shuangge Ma Jun 2009

Reference: Multiple Imputation, Shuangge Ma

Shuangge Ma

No abstract provided.


Reference: Weighted Bootstrap, Shuangge Ma Jun 2009

Reference: Weighted Bootstrap, Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 9, Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 9, Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 8, Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 8, Shuangge Ma

Shuangge Ma

No abstract provided.


Reference: Counter Examples [Bootstrap], Shuangge Ma Jun 2009

Reference: Counter Examples [Bootstrap], Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 7 (Lab 2), Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 7 (Lab 2), Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 6, Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 6, Shuangge Ma

Shuangge Ma

No abstract provided.


Reference: Block Jackknife, Shuangge Ma Jun 2009

Reference: Block Jackknife, Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 5, Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 5, Shuangge Ma

Shuangge Ma

No abstract provided.


Reading: Simulate Multivariate Distribution, Shuangge Ma Jun 2009

Reading: Simulate Multivariate Distribution, Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 4, Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 4, Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 3 (Lab 1), Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 3 (Lab 1), Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 2, Shuangge Ma Jun 2009

Computer Intensive Methods Lecture 2, Shuangge Ma

Shuangge Ma

No abstract provided.


Computer Intensive Methods Lecture 1, Shuangge Ma Dec 2008

Computer Intensive Methods Lecture 1, Shuangge Ma

Shuangge Ma

No abstract provided.


Detection Of Gene Pathways With Predictive Power For Breast Cancer Prognosis, Shuangge Ma Dec 2008

Detection Of Gene Pathways With Predictive Power For Breast Cancer Prognosis, Shuangge Ma

Shuangge Ma

Prognosis of breast cancer is of great scientific and practical interest. Biomedical studies suggest that clinical and environmental risk factors do not have satisfactory predictive power for prognosis. Multiple gene profiling studies have been conducted, searching for predictive genomic measurements. Genes have the inherent pathway structure, where pathways are composed of multiple genes with similar biological functions. The goal of this study is to identify gene pathways with predictive power for breast cancer prognosis. Although multiple pathway analysis methods are available, they have certain drawbacks and are not suitable for the proposed analysis. In this article, we develop a new …