The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from 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.
Places are limited, please register early to take advantage of early bird discounts and secure a place.
Topics:
1. Introduction & Missing Data Mechanisms
2. Default Strategies of (Not) Dealing with Missing Data and Their Implications
3. Common Misconceptions Regarding Imputation & Basic Imputation Methods
4. More Advanced Imputation Methods & Multiple Imputation
Timeframe:
June 24 – July 15, 2025. Weekly Meetings taking place Tuesdays, 5:00 – 6:00 pm AEST
Course Objectives
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. ▪ know 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.
Your instructor: Instructor Prof. Dr. Jörg Drechlser
Current positions:
▪ Interim head of the Department for Statistical Methods at the Institute for Employment Research, Germany
▪ Associate Research Professor, Joint Program in Survey Methodology, University of Maryland ▪ Honorary Professor, University of Mannheim
Teaching engagements:
• Instructor for three different courses in the International Program in Survey and Data Science
• Regular short courses for various institutions and universities on data confidentiality and synthetic data
Research areas:
▪ Missing data, imputation, data confidentiality
Prerequisites
▪ Students should be familiar with generalized linear models and basic probability theory.
▪ The statistical software R will be used for illustrations and for (some of) the homework assignments. Thus, basic knowledge of R is required to be able to complete the assignments.
Grading will be based on:
▪ 2 online quizzes
▪ 2 homework assignments
▪ Participation in weekly meetings & engagement in discussion forums
▪ Final online exam
Early Bird Deadline
Please book before 30 April 2025 to take advantage of the Early Bird Deadline.
Prices include GST.
Disclaimer
Participants will receive access data for the online course, in particular to any learning platform that may be used. The rights of use connected to the access data are personally assigned to the participant. Passing on the access data is not allowed. Also, the temporary transfer to third parties is not permitted.
The right to use the transmitted access data, in particular with regard to any materials or video recordings provided, can only be exercised up to a maximum of 2 months after the program end. After expiration of this 2-months period, the access data will be deleted by Mannheim Business School (MBS). Before the expiration of this period, the participant may view the respective recorded course as often as desired and without time restriction.
If we have reasons to believe that the participant is abusing the right of use granted to him or that there is a violation of the terms of use, MBS reserves the right to change the participant’s access data as well as to partially or completely block the access or to prohibit the further use of the digital content.
Group bookings
For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers of the participants in the group.
Cancellation Policy
Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.
Cancellations received prior to two weeks before the event will be refunded, minus the Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20.
From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.
For any questions, please email events@statsoc.org.au
@StatSocAus
