The 7th Annual UNCG Regional Mathematics and Statistics Conference
Saturday, November 5, 2011

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Afternoon Plenary Lecture

Prediction Models in Health Sciences

presented by

Heejung Bang

Associate Professor, Division of Biostatistics
Department of Public Health Sciences
University of California-Davis, CA 95616

Abstract: Building risk score or prediction model is an area of mathematical/statistical modeling that can have a significant impact in patient care and health education - it is commonly used in health screening, disease prediction and risk assessment, and clinical decision making. Accuracy and feasibility/user-friendliness are essential criteria in the development of any prediction model to be not only accepted by health professionals, researchers, and policy makers, but also widely used by the general public. We will discuss statistical methodologies and procedures for developing and validating the models/tools and a variety of different examples that are currently utilized in real life. The larger question is how do we get our "good" statistical models into common practice? Particularly, health care providers and lay persons' perspectives and needs should be integrated into the models, which call for close communication and brainstorming between statisticians and non-statisticians. The speaker will share her diverse real life experiences in this talk - including her screening and prediction scores for diabetes, kidney disease and hypertension.

Biosketch: Dr. Heejung Bang received her Ph.D. in Statistics from the North Carolina State University in 1999. Her dissertation topic was ``censored medical cost". As a post-doctoral research fellow in the departments of biostatistics and epidemiology at the Harvard University between 1999-2001, she had been involved in developing statistical methodology in the area of survival analysis, especially in HIV/AIDS clinical trials. Then she joined the faculty in the Department of Biostatistics and the data coordinating center at the University of North Carolina-Chapel Hill for 3 years. She participated in large-scale multi-center clinical trials in cardiovascular/atherosclerosis diseases. She oversaw the comprehensive scientific and operational aspects of clinical trials. In addition, she served as the Chair of quality control of all laboratory data and as a co-investigator / biostatistician for a large community-based longitudinal cohort study, called Atherosclerosis Risk in Communities (ARIC). She was a recipient of a young investigator award in Statistics in Epidemiology Section at Joint Statistical Meetings hosted by American Statistical Association in 2001. She is currently involved in departmental services, teaching, consulting and collaborations with various faculty members within Cornell and University of California-Davis.


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