July 7, 2016
Welcome to this series on Advanced Statistics by Dr. William Bridges and Dr. Julia Sharp, from Clemson University. In this segment on meta-analysis, listen in as Dr. Julia Sharp explains what a meta-analysis is, what is needed to conduct a meta-analysis, as well as the advantages and disadvantages of using this type of analysis for decision-making.
Julia Sharp, is an Associate Professor of Applied Statistics in the Department of Mathematical Sciences at Clemson University. She has more than seven years of experience working with data collection, management, and analyses across a variety of disciplines, including horticulture, food science and nutrition, computer science, biological sciences, and engineering. Dr. Sharp is a trained applied statistician, with expertise in the areas of experimental design and analysis, longitudinal data analyses, and generalized linear mixed models.
William Bridges, Ph.D., is an Alumni Distinguished Professor in the Department of Mathematical Sciences. His primary professional interests involve the statistical aspects of research projects. With over 30 years of experience, he has collaborated extensively with colleagues across the University on the design, analysis, and presentation of both survey and experimental data. He is usually a co-author on at least 10 peer-reviewed publications per year, and is also a Co-PI or collaborator on least two externally funded research projects per year. He teaches both undergraduate and graduate level courses in statistical methods, regression analysis, statistical research design, and data analysis. He has served as advisor or co-advisor to approximately 20 Ph.D. students and 30 M.S. students, and has been a committee member for over 100 graduate students in departments across campus. Further, as evidenced by Dr. Bridges’ lengthy record of scholarly activity, he is well-qualified to communicate and disseminate results from this project.
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