The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer theory-based and practice-oriented learning from faculty from world’s top ranked universities, statistical agencies and businesses via the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.
The program involves asynchronous learning experience (prerecorded lectures, readings) and synchronous learning experience (virtual classroom, weekly live discussions led by the instructor)
Course objectives:
- Introduction & Missing Data Mechanisms
- Default Strategies of (Not) Dealing with Missing Data and Their Implications
- Common Misconceptions Regarding Imputation & Basic Imputation Methods
- More Advanced Imputation Methods & Multiple Imputation
By the end of the course, participants will...
- understand why the default way of dealing with missing data as implemented in most statistical software is often problematic.
- realize that it is better not to account for the missingness instead of applying simplistic imputation methods such as mean imputation
- or last-observation carried forward.
- now what is meant by a missing data mechanism and understand the implication of the different mechanisms.
- be familiar with the principle ideas and concepts of multiple imputation.
Instructor: Prof. Dr. Jörg Drechlser
For more information visit: https://www.statsoc.org.au/event-5177335