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.
Tips and Techniques for Handling Missing Data (Statistical Techniques) 2019 covers topics such as:
- 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
Tips and Techniques for Handling Missing Data (Statistical Techniques) 2019 intended for:
- 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
