Consultant, Eli Lilly
Kriss Harris worked at GlaxoSmithKline as a statistician supporting drug discovery. At GSK, he developed an increasing passion for both SAS graphics and teaching and taught SAS graphics to SAS programmers, statisticians, and scientists. After leaving GSK, he became an independent statistical programmer and has consulted at Eli Lilly, Eisai, and MedAvante-ProPhase. Currently, Kriss is consulting at Eli Lilly supporting drug reimbursements within the oncology therapeutic area and at MedAvante-ProPhase supporting the construction of edit checks. Kriss is based in London, England, and holds a bachelor’s degree in statistics and internet computing from Kingston University and a master’s degree in statistics from the University of Sheffield.
By This Author
SAS® Graphics for Clinical Trials by Example
Using real-world examples, this book shows programmers how to create clinical graphs in SAS. The book demonstrates step-by-step how to create both simple and complex graphs using Graph Template Language (GTL) and statistical graphics procedures, including the SGPLOT and SGPANEL procedures.
"The book is a highly concentrated exposition of how graphics can be used to illuminate the meaning of clinical trials data. As such, it must be sipped, not gulped. The authors have put a tremendous amount of thought into the content. Every part of the book is valuable and must be digested slowly and carefully. "
Dr. Jim Sattler, President
Satmari Software Systems, Inc.
"There are examples for graphical representation of adverse events, which are not commonly included in Clinical Study Reports in the United States, but are used more often in Europe. Armed with this book, programmers can approach statistical graphics with confidence! This book is a MUST-HAVE."
- A SAS user since 1986, Robert Obenchain is Principal Consultant at Risk Benefit Statistics LLC in Carmel, Indiana.
- Rebecca A. Ottesen first learned SAS as a student at California Polytechnic State University, San Luis Obispo, where she now teaches.
- Michael Patetta has been a statistical instructor for SAS since 1994. He teaches a variety of courses including Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio, Predictive Modeling Using Logistic Regression, Introduction to Data Science Statistical Methods, and Regression Methods Using SAS Viya.
- Dr. Carlos Pinheiro is a Principal Data Scientist at SAS and a Visiting Professor at Data ScienceTech Institute in France. He has been working in analytics since 1996 for some of the largest telecommunications providers in Brazil in multiple roles from technical to executive.