This online course is for anyone needing to address the issue of missing information in their quantitative data. It covers the most important principles of missing data analysis and how to effectively address the issues in analyses.
The aim is to develop skills in conducting multiple imputation analysis for cross-sectional data
By the end of this course you will be able to:
There will be three pre-recorded lectures sessions and two 2.5-hour live computer practical sessions in R or Stata.
From 19th September 2023
Pre-recorded lectures available
Introduction to missing data and ad hoc procedures
Multiple imputation methods and assumptions
Further considerations in multiple imputation of missing data
Tuesday 26th September
Live online Session 1 in either Stata or R
Wednesday 27th September
Live online Session 2 in either Stata or R
An understanding of regression models, quantitative data structures and types of variables.
This is a UKRI funded project offering rigorous training in longitudinal data science. Please note that this training is NOT available to undergraduate or masters students.