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.
Yajuan Si
Research Assistant Professor, Survey Research Center, Institute for Social Research
Bayesian, confidentiality protection, missing data, statistics, survey
COntact
WebsiteLocation
Ann Arbor
Methodologies
Bayesian Methods / Causal Inference / Computing / Data Integration / Data Mining / Databases and Data management / Machine Learning / Mathematical and Statistical Modeling / Statistics / Survey Methodology
Applications