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• Ph D in Statistics, Pennsylvania State University (2015)
• MS in Applied Statistics, University of Michigan (2010)

• Developing a predictive model for distinguishing invasive nail unit melanoma from nail unit melanoma in situ Journal of The European Academy of Dermatology and Venereology (2020), J. Ohn, K. Hur, Youngjoo Cho, J. Park, J.Y. Kim, S.-J. Lee, J.-H. Mun.
• Mendelian randomization analysis with survival outcomes. Genetic Epidemiology (2020), Youngjoo Cho, Andrea Rau, Alex Reiner, Paul Auer.
• Multiple chronic conditions and risk of dementia and cognitive impairment among older Americans: findings from the ADAMS Aging, Neuropsychology and Cognition (2020), Yura Lee, Youngjoo Cho, Hyunkyoung Oh.
• Quantile‑based subgroup identification for randomized clinical trials Statistics in Biosciences (2020), Youngjoo Cho, Debashis Ghosh.
• Tumor growth rate as a prognostic factor of acral melanoma in a Korean population Medicine (Baltimore) 99 21 (2020), Gwanghyun Jo, Soo Ick Cho, Youngjoo Cho, Jungyoon Ohn, Je-Ho Mun.
• Covariate adjustment via propensity scores for recurrent events in the presence of dependent censoring COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2019), Youngjoo Cho, Debashis Ghosh.
• Effect of hospital volume on overall survival after surgery in elderly breast cancer patients ANNALS OF SURGICAL ONCOLOGY 26 (2019), Sam Thalji, Julia Frebault, Youngjoo Cho, Abigail Thorgerson, Carmen Bergom, Chiang-Ching Huang, Amanda Kong.
• Assessment of a Predictive Scoring Model for Dermoscopy of Subungual Melanoma In Situ JAMA DERMATOLOGY 154 8 (2018), Jungyoon Ohn, Gwanghyun Jo, Youngjoo Cho, Sarah L. Sheu, Kwang H. Cho, Je-Ho Mun.
• CONDITIONAL SURVIVAL FOLLOWING NEOADJUVANT THERAPY AND SURGERY FOR PATIENTS WITH LOCALIZED PANCREATIC CANCER FROM THE NATIONAL CANCER DATABASE GASTROENTEROLOGY 154 6 (2018), Chad Barnes, Youngjoo Cho, Mohammed Aldakkak, Callisia Clarke, Kathleen Christians, Kulwinder S. Dua, Gwen Lomberk, Raul Urrutia, Ben George, Paul S. Ritch, William Hall, Volkan Adsay, Douglas B. Evans, Susan Tsai.
• Covariate adjustment using propensity scores for dependent censoring problems in the accelerated failure time model STATISTICS IN MEDICINE 37 3 (2018), Youngjoo Cho, Chen Hu, Debashis Ghosh.
• A GENERAL APPROACH TO GOODNESS OF FIT FOR U-PROCESSES STATISTICA SINICA 27 3 (2017), Youngjoo Cho, Debashis Ghosh.

• Covariate Adjustment for Treatment Effects on Competing Risks Data in Randomized Clinical Trials (2020), Youngjoo Cho, Cheng Zheng, Mei-Jie Zhang.

• A missing piece in Electronic Nicotine Delivery Systems (ENDS) use: Attentional bias (AB) to ENDS cues among young adult ENDS user

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