Predicting Breast Cancer Risk: Models & Their Uses - The Komen Maryland Affiliate Nursing Partnership: Advancing Education and Practice
The statistics are staggering and frightening: One in eight women will be diagnosed with breast cancer in her lifetime. Knowing the real facts about individual risk can help women make sound decisions about screening and help health care professionals create appropriate and realistic intervention plans. Dr. Gail is a leader and innovator in the development of statistical models to predict an individual's risk of developing breast cancer. This lecture will describe how breast cancer risk is determined for an individual and will discuss the various appropriate and inappropriate uses of risk models. Understanding this work will help nurses become empowered individuals and more effective professionals. Don't miss this unique opportunity to learn from one of the most accomplished and recognized leaders in this field.
Speaker: Mitchell Gail received an MD from Harvard Medical School and a PhD in statistics from George Washington University. He has worked at the National Cancer Institute since 1969 and is an elected member of the Institute of Medicine and the American Society for Clinical Investigation. He has made substantive methodological contributions in several areas, including characterizing the motility of cells in tissue culture, designing, and analyzing clinical trials and epidemiologic studies, and evaluating diagnostic tests and serial markers. His absolute risk model for breast cancer, The Gail Model, is used nationally and internationally to predict individual women's risk of developing breast cancer.