Jingqin (Rosy) Luo, PhD
Associate Professor of Surgery
Graduate School
1998, BS Department of Statistics, Renmin University, Beijing, China
2001, MS Department of Statistics, Renmin University, Beijing, China
2003, MS Department of Statistical Science, Duke University, Durham, North Carolina
2006, PhD Department of Statistical Science, Duke University, Durham, North Carolina
Teaching Appointments
2007–2011, Course master, Statistical Computing with SAS, Division of Biostatistics, WUSM
2008–2013, Instructor, Intro to R (R Bootcamp), Division of Biostatistics, WUSM
2012 – Coursemaster, Introduction to Bioinformatics, Division of Biostatistics, WUSM
2012–2014, Instructor, Advanced topics in statistics (Bayesian Statistics module), Division of Biostatistics, WUSM
Research Interests
Dr. Luo’s research interests focus on diagnostic tests, change point models and linear mixed effects model, variable/feature selections and predictive models. She has developed statistical measures to summarize diagnostic abilities of markers in three ordinal groups and devised an R package DiagTest3Grp for conducting statistical inference, hypothesis tests and sample size calculation on evaluating diagnostic ability of markers. She has elucidated marker to marker correlations at various hierarchies in clustered studies. Dr. Luo also has expertise in various types of genetic data analysis, causal treatment effect inference in observational studies including propensity score and marginal structural models, conventional survival data analysis. Dr. Luo’s current projects include genetic markers for breast cancer treatment resistance and late relapse; markers that can be targeted to overcome immuno-suppression and improve immunotherapy; genetic markers for gender specific risk of glioblastoma with neurofibromatosis type 1.