Description:

This seminar provides a comprehensive introduction to Multiple Imputation by Chained Equations (MICE) in R, offering researchers advanced skills to effectively handle missing data using robust statistical techniques. Led by Dr. Paola Zaninotto from University College London, participants will gain proficiency in applying MICE across various research disciplines, enhancing data analysis and interpretation capabilities.

Start: Thursday, 06 March 2025 @ 21:00

End: Friday, 07 March 2025 @ 00:00

Timezone: Sydney

Learning Objectives:

Topics Covered
Understanding Missing Data , Types of Missing Data , Impact on Research , Missing data mechanisms , What is multiple imputation , Steps of Multiple Imputation , Multiple Imputation by Chained Equations , Chained Equations Approach , Intro to R Programming , MICE Package in R , Coding Demonstrations , Practical R Exercises

Eligibility:
  • Open to all

Organiser: Paola Zaninotto, Epidemiology & Public Health, University College London

Contact: info@instats.org

Host institution: Instats

Multiple Imputation by Chained Equations (MICE) with Paola Zaninotto, Epidemiology & Public Health, University College London https://dresa.org.au/events/multiple-imputation-by-chained-equations-mice-with-paola-zaninotto-epidemiology-public-health-university-college-london This seminar provides a comprehensive introduction to Multiple Imputation by Chained Equations (MICE) in R, offering researchers advanced skills to effectively handle missing data using robust statistical techniques. Led by Dr. Paola Zaninotto from University College London, participants will gain proficiency in applying MICE across various research disciplines, enhancing data analysis and interpretation capabilities. 2025-03-06 21:00:00 UTC 2025-03-07 00:00:00 UTC Paola Zaninotto, Epidemiology & Public Health, University College London Instats info@instats.org [] [] [] open_to_all []