ONLINE COURSE ? Missing Data Analytics (MDAR01) This course will be delivered live https://www.prstatistics.com/course/online-course-missing-data-analytics-mdar01-this-course-will-be-delivered-live/ Email oliverhooker at prstatistics.com 8 September 2021 - 10 September 2021 TIME ZONE ? Western European Time ? however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker at prstatistics.com for full details or to discuss how we can accommodate you). Course overview: This course will cover introductory modelling for the analysis of missing data. Missing data is extremely common in all areas of science so this course will be of use to a wide variety of practitioners. The methods are presented both at a theoretical level and also with practical examples where all code is available. The practical classes include instructions on how to use the popular mice package. The course is structured over 3 days and includes classes on: An introduction to missing data analysis terminology, missing completely at random, missing at random, not missing at random A revision of likelihood and regression approaches The Fully Conditional Specification (FCS) approach An introduction to the mice package The use of Bayesian and likelihood-based methods in missing data analysis Bayesian missing data analysis using JAGS More advanced missing data analysis including non-ignorable and not missing at random methods Wednesday 8th ? Classes from 09:30 to 17:30 How to run a missing data analysis in mice ? Introduction to Bayesian analysis and missing data ? The use of Bayesian and likelihood-based methods in missing data analysis ? The fully conditional specification approach to missing data analysis Thursday 9th ? Classes from 09:30 to 17:30 Including missing data in JAGS and Stan ? An introduction to the mice package ? Bayesian software tools JAGS/Stan for missing data analysis Friday 10th ? Classes from 09:30 to 17:30 Advanced missing data analysis methods ? More advanced missing data analysis including non-ignorable and not missing at random methods ? Missing data analysis in machine learning
Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020). IN PRESS www.PRstatistics.com facebook.com/PRstatistics/ twitter.com/PRstatistics 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 +44 (0) 7966500340