Women's Health Commons^™

Bayesian Methods For Graphical Models With Neighborhood Selection., Sagnik Bhadury

Electronic Theses and Dissertations

Graphical models determine associations between variables through the notion of conditional independence. Gaussian graphical models are a widely used class of such models, where the relationships are formalized by non-null entries of the precision matrix. However, in high-dimensional cases, covariance estimates are typically unstable. Moreover, it is natural to expect only a few significant associations to be present in many realistic applications. This necessitates the injection of sparsity techniques into the estimation method. Classical frequentist methods, like GLASSO, use penalization techniques for this purpose. Fully Bayesian methods, on the contrary, are slow because they require iteratively sampling over a quadratic …

Estimating The Impact Of Lost To Follow-Up On Breast Cancer Patients' Disease-Free Survival, Debbie Yan Qun Huang

Statistics

Background The 5-year survival rate for patients with breast cancer is much higher than patients with other types of cancer. Due to this longer survival period, breast cancer patients also tend to have increased rates of lost to follow-up, when compared to other cancers. When a patient becomes lost, the occurrence of distant metastasis cannot be reliably ascertained, unless the patient had a breast cancer-specific (BC) death. The impact of lost patients on recurrence rates and disease-free survival (DFS) was explored in breast cancer patients seen at the City of Hope from 1997 to 2012.

Methods Female breast cancer patients …