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Jung In
Kim

Jung In Kim is an assistant research professor of Statistics at Penn State.

Kim received her Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill in 2017. She received her M.S. in Statistics from the University of California, Los Angeles in 2010, and her B.S. in Mathematics and B.E. in Statistics from Korea University in 2008.

She has mainly focused on developing methods for time-to-event data analysis by separately dealing with recurrent/repeated events, unmeasured confounders with instrumental variables, and competing risks.

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Publications

Kim, J., Fine, J.P., Sandler, D.P., Zhao, S. "Accounting for Preinvasive Conditions in the Analysis of Invasive Cancer Risk: With Application to Breast Cancer and the Sister Study", Epidemiology, 33, 1, 2022

*Kianian, B., *Kim, J., Fine, J.P., Peng, L. "Causal Proportional Hazards Estimation with a Binary Instrumental Variable", Statistica Sinica, 31:1-27, 2021 [*Equal contribution]

Kim, J., Lin, F., Fine, J.P. "On the Self-Triggering Cox Model for Recurrent Event Data", Statistics in Medicine, 38:4240–4252, 2019

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Teaching

STAT 184 - Introduction to R

STAT 414 - Introduction to Probability

STAT 418 - Introduction to Probability and Stochastic Processes for Engineering

STAT 509 - Design and Analysis of Clinical Trials