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yajuan@umich.edu

734-7646935

Website
Applications:
Healthcare Research, Social Science
Methodologies:
Bayesian Methods, Causal Inference, Computing, Data Integration, Data Mining, Databases and Data management, Machine Learning, Mathematical and Statistical Modeling, Statistics, Survey Methodology
Relevant Projects:

NSF, NIH, ARHQ, USDA, NISS


Connections:

American Statistical Association, International Society for Bayesian Analysis

Yajuan Si

Research Associate Professor

Survey Research Center, Institute for Social Research

Research Associate Professor, Survey Research Center, Institute for Social Research, Research Associate Professor, Biostatistics, School of Public Health, Adjunct Lecturer in Statistics and Adjunct Lecturer in Quant Methods and Social Science Program, College of Literature, Science, and the Arts

My research lies in cutting-edge methodology development in streams of Bayesian statistics, complex survey inference, missing data imputation, causal inference, and data confidentiality protection. I have extensive collaboration experiences with health services researchers and epidemiologists to improve healthcare and public health practice, and have been providing statistical support to solve sampling and analysis issues on health and social science surveys.