Interview with Dr Sujit Ghosh. Beyond the Cox Model: Time Transformation Models in Action

 
Professor Sujit Kumar Ghosh earned his Ph.D. in Statistics from the University of Connecticut in 1996. He is currently a Full Professor in the Department of Statistics at North Carolina State University (NCSU) in Raleigh, North Carolina, USA.

With more than 30 years of experience, he is widely recognized for his methodological and collaborative research in statistical analysis of biomedical and environmental data. His expertise spans Bayesian methods, with a particular emphasis on Markov Chain Monte Carlo (MCMC) algorithms and shape-constrained estimation techniques. 

Professor Ghosh has supervised over 50 doctoral students and 5 post-doctoral fellows, receiving accolades such as the D.D. Mason Faculty Award (2023) and the Cavell Brownie Mentoring Award (2014) from the NC State Department of Statistics and Distinguished Alumni Award from his Alma mater, UConn. He has served as a statistical investigator or consultant for over 45 research projects funded by leading private industries and federal agencies. He has authored more than 150 peer-reviewed publications in areas including biomedical sciences, environmental applications, econometrics, and engineering, and is the co-author of the widely used textbook Bayesian Statistical Methods (2019 1st. ed., 2nd. ed. forthcoming in 2026). 

His leadership roles include serving as Deputy Director of SAMSI (2014–2017), interim Department Head of Statistics at NC State (2022–2023), and membership on advisory boards at CANSSI and NISS. In 2024, he was appointed to the Board of Trustees and Corporation of NISS by TUCASI and currently serves as a member-at-large on the CANSSI Board of Governors. [See this website link  for list of publications].

Interview Topic:  
Despite being one of the most successful models in the history of statistics, with more than 80,000 citations, the Cox model has important limitations when applied to many real case studies. The goal of this talk is to discuss powerful alternatives, such as time-transformation models, which have emerged from modern semiparametric theory. Dr. Ghosh is one of the leading experts in time transformation survival models, and will explain the fresh perspective these models can provide for healthcare care of the future.

Interview