Tips and Techniques for Handling Missing Data (Statistical Techniques) 2019

Tips and Techniques for Handling Missing Data (Statistical Techniques) 2019 is an event dedicated to statistical reasoning on the why and when of applying various techniques in working with missing-ness in data.

Topics

• History, types and handling of missing-ness in a data set
• Diagnostic tests and decision making when working with missing data
• Good, bad, and ugly of some commonly used techniques in dealing with prevention of missing data
• Multiple imputation with SPSS software
• Multiple imputation techniques

Who should Attend

• Study Investigators
• Data processors
• Data managers
• Site Personnel
• Statisticians
• Clinical Project Managers/Leaders
• Clinical Research Associates
• Professionals in pharmaceutical, medical device, clinical and biotechnology research who oversee or work with data collection and management
• Study Sponsors
• Compliance auditors and regulatory professionals who require a knowledge of missing data for assessment of study protocols and reports
• Staff in the above fields who work with data collection/management