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Summer 2005 Workshop

Held on June 2, 2005 at the Renaissance Chicago North Shore Hotel.

The 21st Annual Summer Workshop of the Northeastern Illinois Chapter of the American Statistical Association was given on the topic of:

Applied Survival Analysis
Joseph G. Ibrahim, University of North Carolina at Chapel Hill


Summary

Survival analysis arises in many fields of study, including medicine, engineering, public health, epidemiology, and economics. In this workshop, Professor Ibrahim will provide a basic introduction to the theory and practice of survival analysis both from a frequentist and Bayesian perspective. Topics to be reviewed include non-parametric estimation of survival functions and construction of life tables, comparison of survival distributions, modeling survival data using the Cox proportional hazards regression model, model selection for survival analysis and assessing the proportional hazards assumption. Other topics may include time-dependent covariates, parametric survival analysis, and competing risks. If time permits, we will discuss designing studies with time to event endpoints. The course will be applied in flavor and many real data examples will be presented using the SAS, S-Plus and BUGS software. The Bayesian portion of the course will be based on the book titled Bayesian Survival Analysis, by Ibrahim, Chen, and Sinha (Springer-Verlag, 2001).

 

Biographical Background

Joseph (Joe) Ibrahim currently holds the position of Professor and Director of Graduate Studies in the Department of Biostatistics at the University of North Carolina at Chapel Hill. He previously held teaching appointments at Harvard University and Northern Illinois University after receiving his Ph.D. in Statistics from the University of Minnesota. He is currently an Associate Editor for the Journal of the American Statistical Association, Applied Statistics and Bayesian Analysis, and formerly an Associate Editor for Biometrics and Lifetime Data Analysis. He is a Fellow of both the American Statistical Association and the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. His major research interests include Bayesian model selection, prior elicitation, Bayesian computational methods, missing data problems, survival analysis, longitudinal data, generalized linear models, genomics and cancer. He has been an invited speaker and short course presenter at JSM as well as meetings of the International Biometrics Society (ENAR and WNAR). He has authored over 100 publications in peer-reviewed statistical journals such as Applied Statistics, Biometrics, Biometrika, Clinical Cancer Research, Journal of the American Statistical Association, Journal of Multivariate Analysis, Statistica Sinica and Statistical Modeling. He is an author of several textbook chapters and two books on Bayesian methods: Monte Carlo Methods in Bayesian Computation (Springer-Verlag 2000) and Bayesian Survival Analysis (Springer-Verlag 2001). 


Last updated: 03/31/09  by: Clint Lovell

 

 

Northeastern Illinois Chapter
American Statistical Association

 

 

 

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