Douglas Faries graduated from Oklahoma State University with a PhD in Statistics in 1990 and joined Eli Lilly and Company later that year. Over the past 17 years, Doug has focused his research interests on statistical methodology for real world data including causal inference, comparative effectiveness, unmeasured confounding, and the use of real world data for personalized medicine. Currently, Doug is a Sr. Research Fellow at Eli Lilly, leading the Real-World Analytics Capabilities team. He has authored or co-authored over 150 peer-reviewed manuscripts including editing the textbook Analysis of Observational Healthcare Data Using SAS in 2010. He is active in the statistical community as a publication reviewer, speaker, workshop organizer, and teaches short courses in causal inference at national meetings. He has been a SAS user since 1988.
This book is packed full of useful and insightful information. The table of contents may seem daunting to novice SAS users / healthcare analysts, but given the topics covered, I would recommend a brief run-through at least for anyone new to the field. For more intermediate / advanced users, this book will become a mainstay in your resource list. -- Chris Battiston, Research Data Analyst Women's College Hospital