Johnson & Johnson, USA
Nancy received her Ph.D. in Probability and Mathematical Statistics in 2003 and she conducted the Post-doctoral research for 3 years at the University of Toronto. Nancy has over 10 years of working experience in pharmaceutical industry. Currently she is working at Johnson & Johnson as a principle statistician. Nancy’s primary interest is statistical methodology in clinical trials, including adaptive design, Bayesian statistics, repeated measurements, missing data imputation, multivariate analysis, survival analysis, non-parametric methods and meta-analysis etc. She has been working on various therapeutic areas, such as infection diseases, neuroscience, cardiovascular disease, autoimmune, diabetes, infection disease and oncology. Nancy is also a fellow of the American Statistical Association and a member of Statistical Society of Canada. Her work has been published in numerous journals including PLoS ONE, Clinical Therapeutics, Journal of Opioid Management, Human Psychopharmacology: Clinical and Experimental etc.. In addition, Nancy is a journal reviewer for Contemporary Clinical Trials and Clinical Therapeutics.
Statistical methodology in clinical trials, Adaptive design, Bayesian statistics, Repeated measurements, Missing data imputation, Multivariate analysis, Survival analysis, Non-parametric methods, Meta-analysis