Senior Research Scientist, Lilly
Zbigniew Kadziola graduated from Jagiellonian University in 1987 with an MSc in Software Engineering. Since then he has worked as a programmer for the Nuclear Medicine Department in the Silesian Center of Cardiology (Poland), Thrombosis Research Institute (UK), Roche UK, and Eli Lilly (Austria). Currently, Zbigniew is a Sr. Research Scientist at Lilly supporting the Real-World Analytics organization. He has co-authored over 40 publications and has more than 20 years of experience in SAS programming. His research focus is on the analysis of real world data using machine-learning methods.
By This Author
Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS®
Real world health care data from observational studies, pragmatic trials, patient registries, and databases is common and growing in use. Real World Health Care Data Analysis: Causal Methods and Implementation in SAS® brings together best practices for causal-based comparative effectiveness analyses based on real world data in a single location. Example SAS code is provided to make the analyses relatively easy and efficient.
The book also presents several emerging topics of interest, including algorithms for personalized medicine, methods that address the complexities of time varying confounding, extensions of propensity scoring to comparisons between more than two interventions, sensitivity analyses for unmeasured confounding, and implementation of model averaging.
- Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research.
- Michele M. Burlew designs and programs SAS applications for data management, data analysis, report writing, and graphics for academic and corporate clients.
- Kevin D. Smith has been a software developer at SAS since 1997.