Statistical modelling with missing data using multiple imputation

Course aims: Develop an intuitive understanding of key concepts in the missing data literature; - Understand the basis of multiple imputation (MI), and its pros and cons relative to other approaches; - Discuss how to perform MI in practice, and avoid common pitfalls; - Learn how to frame and to carry out simple sensitivity analyses, and - Develop an awareness of current research questions.