Kim Chantala
Programmer Analyst, RTI
Prior to her retirement, Kim Chantala was an analyst with over 25 years of experience in managing and analyzing research data. She was a Programmer Analyst in the Research Computing Division at RTI International and a data analyst at the University of North Carolina at Chapel Hill. In addition to providing data management and analytical services at the University, she taught workshops on analyzing survey data, focusing on the problems of sample weights and design effects. Kim believes that the real challenge in data analysis is bridging the gap between raw or acquired data and data that is ready to analyze. This inspired her to develop computerized data management tools revolutionizing the way data is prepared, Kim earned a BS in Engineering Physics from the Colorado School of Mines and an MS in Biometrics from the University of Colorado.
By This Author
The Data Detective’s Toolkit: Cutting-Edge Techniques and SAS® Macros to Clean, Prepare, and Manage Data
By Kim Chantala
This book presents innovative, efficient methods of data cleaning and preparation to improve the quality of final data sets. Readers will learn to use original SAS macros as well as ingenious ways of applying SAS procedures and functions to automate steps, handle missing data, and communicate with clients about data collection.
Featured Authors
-
Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
-
Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
-
Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
-
Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.