Timothy C. Guetterman is a methodologist focused on research design and mixed methods research. His research interests include advancing rigorous methods of quantitative, qualitative, and mixed methods research, particularly strategies for intersecting and integrating qualitative and quantitative research. Tim is the PI of NIH-funded research that uses quantitative, qualitative, and mixed methods research to investigate the use of virtual human technology in health, education, and assessment. He has been applying natural language processing techniques to the analysis of mixed methods datasets. He also conducts research on teaching, learning, and developing research methods capacity as Co-PI of a William T. Grant Foundation qualitative and mixed methods research capacity building grant and in his role as evaluator and Co-I for the NIH-funded Mixed Methods Research Training Program for the Health Sciences. Tim has extensive professional experience conducting program evaluation with a focus on educational and healthcare programs.
Dr. Sen is the Lee A Green Collegiate Research Professor at the University of Michigan. He holds research professor titles in the departments of Family Medicine and Biostatistics. He is a fellow of the American Statistical Association and an elected member of the International Statistical Institute. He has an established career record as a statistician with over 140 publications in peer-reviewed journals and invited book chapters. He has methodological expertise in the areas of competing risks, analysis of recurrent event data, and measuring inter-rater agreement. Dr. Sen has extensive collaborative experience in cancer prevention and biomarker research with diet and disease endpoints. He is the principal investigator of the Biostatistics Core in the NCI funded Specialized Program on Research Excellence in GI Cancer at the University of Michigan. He serves as the Book Review Editor for the journal International Statistical Review. He is on the editorial board of the journals Communications in Statistics, and Computational Statistics and Data Analysis, and serves as a statistics co-editor for the American Journal of Preventive Medicine. In the past, he has also served as an expert panelist for the Committee on National Statistics (CNSTAT), in the National Academy of Sciences.