Physical Sciences and Mathematics Commons^™

Meta-Analysis Of Lapatinib Plus Capecitabine Versus Capecitabine In The Treatment Of Her2 Positive Breast Cancer, Lynda Smith

Culminating Projects in Applied Statistics

BACKGROUND:

Breast cancer is the most common type of cancer in women despite advances in research and detection methods. Approximately 25 to 30 percent of newly diagnosed cases of breast cancer will overexpress HER2, human epidermal growth factor receptor 2, and are at a greater risk for disease progression and poorer clinical outcomes. The traditional treatment is associated with irreversible cardiac dysfunction. An alternative treatment involving lapatinib plus capecitabine has been reported in some randomized controlled clinical trials comparing treatment outcomes. To quantify the effectiveness of lapatinib plus capecitabine combination therapy versus capecitabine monotherapy in treating metastatic breast cancer, a …

High Dimensional Model Selection And Validation: A Comparison Study, Zhengyi Li

Culminating Projects in Applied Statistics

Model selection is a challenging issue in high dimensional statistical analysis, and many approaches have been proposed in recent years. In this thesis, we compare the performance of three penalized logistic regression approaches (Ridge, Lasso, and Elastic Net) and three information criteria (AIC, BIC, and EBIC) on binary response variable in high dimensional situation through extensive simulation study. The models are built and selected on the training datasets, and their performance are evaluated through AUC on the validation datasets. We also display the comparison results on two real datasets (Arcene Data and University Retention Data). The performance differences among those …