Data Management Essentials Using SAS and JMP

Julie Kezik is a biostatistician at the Center for Perinatal, Pediatric and Environmental Epidemiology at the Yale School of Public Health. Her primary research interests are assessing the effects of indoor and outdoor air pollution on at risk populations, and she currently focuses on providing statistical analysis and research support for epidemiological studies of environmental exposures and early childhood health outcomes. Her current work uses a combination of measured data, modeling data, traffic information, and health outcomes to help create interventions which will improve health. Melissa Hill is a Clinical Programmer at Cd3 Inc. where she uses SAS to perform and support the design and programming of clinical data structures related to drug development. Prior to her position at Cd3 Inc. she worked as an epidemiologist at the Yale University Center for Perinatal, Pediatric, and Environmental Epidemiology. During that time, she used SAS to support her various roles at the CPPEE including programmer analyst, field study coordinator, and research associate. She enjoys sharing her diverse SAS experience with other members of her team and developing new ways to harness the broad range of tools that SAS provides.

1. Navigation; 2. Preliminary data exploration; 3. Storing and manipulating data; 4. Advanced concepts in dataset and variable manipulation; 5. Introduction to common procedures; 6. Procedures for simple statistics; 7. More about common procedures; 8. Data visualization; 9. JMP as an alternative.