12 Feb 2025 09:00am to 05:00pm

Summer School 2025: Modern missing data methods: A new roadmap for handling missing data

Workshop
Event Location
Monash University SPHPM
553 St Kilda Road
Melbourne VIC 3004
Australia
Speakers
Margarita Moreno Betancur
Margarita is co-lead of the Clinical Epidemiology and Biostatistics Unit (CEBU) at the MCRI and the University of Melbourne. Since completing her PhD in Biostatistics at Université Paris-Sud in 2014...
Prof Katherine Kate Lee
Katherine (Kate) is a professor of biostatistics at the Murdoch Children’s Research Institute and is the Associate Director: Biostatistics of the Melbourne Children’s Trials Centre. She also holds an honorary...
Ghazaleh Dashti
Ghazaleh completed her PhD in Epidemiology at the University of Melbourne in 2020. Her current research focuses on methods for handling missing data in the context of causal inference methods...
Jiaxin Zhang
Topic : Development and evaluating of causal inference methods for epidemiological studies with missing data
Cattram completed a PhD in biostatistics at the University of Melbourne in 2014. Her statistical areas of interest include the design and analysis of clinical trials and methods for missing...
Melissa submitted her PhD "Evaluation and development of approaches for handling missing data in complex longitudinal studies" in 2023 and is now working as a postdoctoral researcher in the field...
Jessica Xu ViCBiostat
Title : Optimising dynamic treatment regimens using sequential multiple assignment randomised trial data with missing data Background : Clinicians often face multi-stage and dynamic decisions when treating patients with either...

Missing data are a common problem in health research that can lead to bias if there is a violation in the assumptions about the causes of missing data that underlie (implicitly or explicitly) the analysis. Yet, the traditional forms of missing data assumptions (e.g. “missing at random”) are difficult to assess in practice where it is common for multiple variables to have missing data.

Through a combination of lectures and practicals (computer practicals in Stata and R), this workshop will introduce participants to a new roadmap for handling missing data that is grounded in the use of causal diagrams to facilitate the depiction and assessment of missingness assumptions.

After a review of the traditional classification of missingness assumptions, the workshop will take participants through the steps of the new roadmap:

  1. Define the estimand if there were no missing data.
  2. Draw a causal diagram to depict missingness assumptions.
  3. Use the causal diagram to guide analysis planning.
  4. Conduct the analysis, where we will focus on how to implement the method of multiple imputation as a practical and accessible solution.
  5. Conduct a sensitivity analysis to the missingness assumptions.

 

Prerequisites and intended audience: The target audience is statisticians and researchers with some statistical background, including some knowledge of regression methods. For the computer practical, students must also have a sound working familiarity with Stata or R and have the corresponding software installed on their computer or laptop.

Presenters: Margarita Moreno-Betancur, Katherine Lee, Ghazaleh Dashti, Jiaxin Zhang, Cattram Nguyen, Melissa Middleton and Jessica Xu, from the missing data methods research group at the Murdoch Children’s Research Institute & University of Melbourne

 

Registration:

Discounted tickets are available for full time students. Please use your student email when registering.

Registration type Price
Standard $490
Student $350

Registration is now open. MCRI staff and students - to arrange payment via cost centre transfer please email

For all other registrations please visit: https://shop.monash.edu/vicbiostat-summer-school-2025.html 

 

Location:

This course will be delivered in person and online via Zoom.

Monash University SPHPM

553 St Kilda Road, Melbourne 3004