Introduction to Dealing with Missing Data
May 15, 2018 10:00 AM
End: May 16, 2018 12:45 PM
15th-16th May, 2018: This course looks at the problem of missing data in research studies in detail. Reasons and different types of missing data are discussed as well as bad and good methods of dealing with them.
Missing data are very common in research studies, but ignoring these cases can lead to invalid and misleading conclusions being drawn. This workshop provides guidance on how to deal with missing values and the best ways of analysing a dataset that is incomplete.
The course runs over a full day, with an optional second half day for practical application. The first day covers the following topics:
- Reasons for missing data
- Types of missing data
- Simple methods for analysing incomplete data
- More sophisticated methods of dealing with missing data (simple and multiple stochastic imputation, weighting methods)
On the 2nd, optional, half-day of the course, the theory of day 1 is put in practice with the use of SPSS (v.17 or later) and real-world datasets; particular emphasis is given to multiple imputation.
The 2nd half-day of the course will take place in a cluster room. Delegates are welcome to bring their own laptops and access to the UCL Guest network will also be provided. Everyone wishing to bring their own computer should ensure the software is licensed before attending. Where possible, we recommend using a recent version of SPSS (e.g., 19-22) for maximum compatibility with the notes provided during the course.
All CASC courses take place in central London, in or close to the Institute of Child Health. Specific details of the course venue will be supplied after registration.
External Delegates (Non-UCL) £150.00 (£225.00 for both days)
UCL Staff, Students, Alumni £75.00 * (£112.50 for both days) Staff and Doctoral Students from ICH/GOSH FREE †
* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university.
† Limited free spaces available. If there are no free places remaining, Staff and Doctoral Students from ICH/GOSH can still register at the UCL rate.
Prices include printed course materials, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm on the first day).
Finally, please note that no refunds will be given for non-attendance or cancellations made within 5 working days of the start of the course. For delegates attending courses on funded places, a £50 fee will be charged for late cancellation, non-attendance or partial-attendance. This fee is needed to cover printing, catering, etc. costs that are ordered no later than 5 days before the course and are based on the number of people registered at that point in time.
- Future Dates
Dates Time Cost Apply 15th-16th May, 2018 10.00am – 4.30pm (10.00am - 12.45pm, day 2)‡ £150*† (£225^) Register (1-day)
‡Registration period is 9.45am-10.00am with tea and coffee served and the course will begin at 10.00am. Delegates are expected to arrive at 9.45am on the second day to log in and set up their computer ready for the start of the course.
*Cost for external participants.
†Price includes printed course materials, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm on the first day).
^Cost for both days; 2nd day is optional
“The course was a very thorough introduction to accounting for missing data statistically, going from different types of missing data to simple and then more complicated methods of substitution. It would be very useful for staff who deal with data because it makes you think about importance of good data collection, data types and trial design. I learnt a lot about an area of statistics I had little knowledge of before. It was well taught by an experienced lecturer who explained her subject clearly and made sure everyone in the class was engaged with what she was talking about.” “The pace of the lecture was very good. Although the first half of the day was spent describing methods that should not be used, this was important information. The lecturer was very clear in her explanations.” “Extended my understanding of missing data, and demystified multiple imputation somewhat.” “I thought the presenter was excellent. Very clear and explained everything well. I particularly liked that she asked questions throughout to make sure everyone was understanding the concepts. It made the session interactive and kept me focused.” “Very well structured, good combination of presentations and exercises” “As a complete beginner to the topic, the content was pitched at exactly right level for me and all very useful. I also really enjoyed the relaxed atmosphere that meant I was extremely comfortable asking any questions and contributing answers.” “Clear and straightforward overview of the topic - really useful intro!”