Abstract The Wisconsin Breast Cancer Epidemiology Simulation Model is a discrete-event,
stochastic simulation model using a systems-science modeling approach to replicate breast …

Background Examining geographic variation in cancer patient survival can help identify
important prognostic factors that are linked by geography and generate hypotheses about …

** BACKGROUND** Distance to oncology service providers and rurality may affect receipt of
guideline-recommended radiation therapy (RT), but the extent to which these factors affect …

In geographical spatial epidemiology and disease surveillance, all the existing spatial scan
methods for cluster detection using continuous data are designed for evaluating clusters of …

Where and how one lives is associated with cancer survival. This study was designed to
assess geographical region of residence, race/ethnicity, and clinical and socioeconomic …

** BACKGROUND** Chemotherapy-related health care utilization by breast cancer patients
can be expensive for payers and patients. This study evaluated the patient-centered medical …

We sought to evaluate survival of liver transplant candidates living in geographic areas with
limited access to specialized transplant centers (TxC). We analyzed survival outcome …

Background Advanced head and neck cancer (HNC) is a complex group of diseases that
requires the input and coordination of multiple providers. While there are general guidelines …

Background Many researchers are interested to know if there are any improvements in
recent treatment results for metastatic breast cancer in the community, especially for 10-or …

In this article, we develop the first detailed illustration of the use of a cluster detection method
using a spatial scan statistic based on an exponential survival model. We use this approach …