Yajuan Si is a Research Associate Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor campus. She received her Ph.D on Statistical Science in 2012 from Duke University. Before joining the University of Michigan in 2017, Yajuan was an assistant professor jointly in the Department of Biostatistics & Medical Informatics and the Department of Population Health Sciences at the University of Wisconsin-Madison and a Postdoctoral Research Scholar in the Department of Statistics at Columbia University. Dr Si’s research lies in cutting-edge methodology development in streams of Bayesian statistics, complex survey inference, missing data imputation, causal inference, and data confidentiality protection. Yajuan has extensive collaboration experiences with health services researchers and epidemiologists to improve healthcare and public health practice, and she has been providing statistical support to solve sampling and analysis issues on health and social science surveys.
- Yajuan Si, Steven G Heeringa, Johnson, David, Roderick J Little, Liu, Wenshuo, Fabian T Pfeffer, Trivellore E Raghunathan. 2023. Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics. Journal of Survey Statistics and Methodology 11(1):260-283.
- Yajuan Si, Sunghee Lee, Steven G Heeringa. 2023. Population Weighting in Statistical Analysis. JAMA Internal Medicine
- Shivani Bakre, Nicholas Moloci, Private: Norton,Edward C, Valerie A. Lewis, Si,Yajuan, Sunny Lin, Emily J. Lawton, Lindsey A. Herrel, John M. Hollingsworth. 2022. Association Between Organizational Quality and Out-of-Network Primary Care Among Accountable Care Organizations That Care for High vs Low Proportions of Patients of Racial and Ethnic Minority Groups. JAMA Health Forum 3(4):e220575.
- Yajuan Si, Brady Thomas West, Philip Todd Veliz, Megan E Patrick, John E Schulenberg, Deborah Denise Kloska, Yvonne M Terry-McElrath, Sean Esteban McCabe. 2022. An empirical evaluation of alternative approaches to adjusting for attrition when analyzing longitudinal survey data on young adults' substance use trajectories. International Journal of Methods in Psychiatric Research 31(3):e1916.
- Schumacher, Jessica R, Neuman, Heather B, Yu, Menggang, Vanness, David J, Yajuan Si, Burnside, Elizabeth S, Ruddy, Kathryn J, Partridge, Ann H, Schrag, Deborah, Edge, Stephen B, Zhang, Ying, Jacobs, Elizabeth A, Havlena, Jeffrey, Francescatti, Amanda B, Winchester, David P, McKellar, Daniel P, Spears, Patricia A, Kozower, Benjamin D, Chang, George J, Greenberg, Caprice C. 2022. Surveillance imaging vs symptomatic recurrence detection and survival in stage II-III breast cancer (AFT-01). JNCI: Journal of the National Cancer Institute 114(10):1371-1379.
- Yajuan Si, Roderick J Little, Ya Mo, Nell Sedransk. 2022. A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys. Journal of Educational and Behavioral Statistics 48(3):271-295.
- Yajuan Si, Nicholas Moloci, Sitara Murali, Sarah Krein, Andy Ryan, John M. Hollingsworth. 2022. Use of Preventive Care Services and Hospitalization Among Medicare Beneficiaries in Accountable Care Organizations That Exited the Shared Savings Program. JAMA Health Forum 3(1):e214452.
- Nicholas M. Moloci, Si, Yajuan, Edward C. Norton, Andrew M. Ryan, John M. Hollingsworth. 2021. Predicting Losses from Medicare Shared Savings Program Departures. Journal of General Internal Medicine
- Jieun Song, Barry T. Radler, Margie E. Lachman, Marsha R. Mailick, Si,Yajuan, Carol D. Ryff. 2021. Who Returns? Understanding Varieties of Longitudinal Participation in MIDUS. Journal of Aging and Health 33(10):896-907.
- Moloci, Nicholas M., Si,Yajuan, Private: Norton,Edward C, Ryan, Andrew M., Hollingsworth, John M.. 2021. Predicting Losses from Medicare Shared Savings Program Departures. Journal of General Internal Medicine 36(8):2490-2491.