Description:

This seminar provides a comprehensive introduction to dealing with missing data in research, covering essential concepts such as the types and reasons behind missing data, and effective/popular methods for addressing these issues, including multiple imputation and listwise deletion. Participants will enhance their analytical skills through a combination of theoretical knowledge and practical application, improving the credibility and reliability of their research findings. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points.

Start: Wednesday, 05 February 2025 @ 20:30

End: Saturday, 08 February 2025 @ 04:00

Timezone: Sydney

Learning Objectives:

Topics Covered
Definition of missing data , Examples of missing data , Missing data mechanisms , Effect of missing data on statistical inference , Practical Example on Missing data mechanisms , Complete Case Analysis , Listwise deletion , Pairwise deletion , Mean imputation , Hot-deck imputation , Dummy variable adjustment , Last observation carried forward , Recap of hot-deck imputation , Single Random Imputation , Multiple Imputation , Choosing number of imputations , Variables to include in imputation , A comparison between MI and listwise deletion , Multiple Imputation in Longitudunal Studies , Sensitivity Analysis , Practical Exercise on Multiple Imputation , Exploring missing data in real world data , Traditional imputation methods , Practical Exercise , Exploring missing data mechanism in real world data , Imputation of missing data using traditional methods , Exploring Missing Data Mechanism in Real World Data

Eligibility:
  • Open to all

Organiser: Centre for Applied Statistics Courses (CASC), University College London

Contact: info@instats.org

Host institution: Instats

Introduction to Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-dealing-with-missing-data-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar provides a comprehensive introduction to dealing with missing data in research, covering essential concepts such as the types and reasons behind missing data, and effective/popular methods for addressing these issues, including multiple imputation and listwise deletion. Participants will enhance their analytical skills through a combination of theoretical knowledge and practical application, improving the credibility and reliability of their research findings. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-02-05 20:30:00 UTC 2025-02-08 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []