Professor Din-Chen  (Ph.D. Fellow of the American Statistical Association, Executive Director and Professor in Biostatistics, College of Health Solutions, Arizona State University, Phoenix, USA)

Title: How To Jointly Analyze Longitudinal Data & Time-To-Event Simultaneously: An Integrative Data Harmonization Approach    

Dates/times: 

04/05/2023 (Thursday) at 9:00-12:00 and 14:00-17:00

Location: Seminar room, building VII

Abstract:

Drawing on theory and prior research in clinical trials, evidence-based health research can generate data from different sources and phases of health interventions. A central feature of evidence-based public health intervention research is the sequential and longitudinal implementation with that participants may drop out or die or be censored during the time of the study. This mini-workshop is to discuss the integrative data harmonization and joint modeling of longitudinal data and time-to-event(such as, drop out and censored) data simultaneously, which has the potential to produce a more efficient and more powerful statistical analysis. Specifically,this workshop is to give an overview of statistical joint modeling to simultaneously analyze the data from longitudinal biomarkers and time-to-event with two publicly available real-world data. It is designed with two 3-hoursessions in a step-by-step implementation in the statistical software R for data from HIV/AIDS clinical trials and the Mayo Clinic Primary Biliary Cirrhosis study. Participants are welcome to bring their own research data to be used in this workshop as examples.

Session 1 (3-hrs): Univariate Joint-Modeling

· Introduction to integrative data harmonization (half hr)

· Overview of statistical joint modeling (one hr)

· Step-by-stepR implementations with R packages JM and JMBayes2 on HIV Clinical Trial data analysis (1 hr)

· Group discussions (half hr)

Session 2 (3-hrs): Latent-Class Joint Modeling and Multivariate Joint Modeling

Overview of joint modeling to Latent-Class Joint Modeling with HIV clinical trial data (half hr)
· Step-by-stepR implementations with R packages LCJM on HIV Clinical Trial data analysis (one hr)

· Multivariate Joint Modeling with Mayo Clinic Primary Biliary Cirrhosis study (one hr)

· Group discussions (half hr)

Brief Biography of Dr. Din Chen:

Dr. Din Chen received his Ph.D. in Statistics from the University of Guelph (Canada) in 1995 and is now the executive director and professor in Biostatistics at the College of Health Solutions, Arizona State University. He served as the Wallace H. Kuralt distinguished professor in biostatistics at the University of North Carolina-Chapel Hill, a biostatistics professor at the University of Rochester Medical Center, the Karl E. Peace endowed eminent scholar chair in biostatistics from the Jiann-Ping Hsu College of Public Health at the Georgia Southern University. Dr. Chen is an elected fellow of the American Statistical Association and a senior expert consultant for biopharmaceuticals and government agencies with extensive expertise in clinical trial biostatistics. Dr. Chen has more than 200 scientific publications and co-authored/co-edited 38 books on clinical trials, survival data, meta-analysis, causal inference and structural equation modeling, Monte-Carlo simulation-based statistical modelling. His research has been funded as PI/Co-PI from NIH R01s and other governmental agencies.