Daily timetable - Day 3 Multiple Imputation for Missing Data

09:00 - 09:45

Lecture 1: Introduction to multiple imputation

Julie Simpson

09:45 - 10:30

Lecture 2:Implementation of multiple imputation

Cattram Nguyen

10:30 - 10:50

Morning tea

 

10:50 - 12:00

Practical 1: Multiple imputation for a single variable with missing data (Stata/R)

Katherine Lee, Alysha De Livera, Anurika De Silva, Cattram Nguyen

12:00 - 12:30

Demonstration: Software demonstration of imputation model checking

Cattram Nguyen

12:30 - 13:30

Lunch

 

13:30 - 15.00

Lecture 3: Case Studies

i) Melbourne Collaborative Cohort Study

ii) The Victorian Infant Cohort Study

 

Julie Simpson (i),

Katherine Lee (ii)

15:00 - 15:20

Afternoon tea

 

15:20 - 16:15

Practical 2: Multiple imputation for a complex example (Stata / R)

Julie Simpson, Alysha De Livera, Anurika De Silva, Cattram Nguyen

16:15 - 17:00

Lecture 4: Sensitivity analyses within the multiple imputation framework: the pattern mixture method

Julie Simpson