Don’t Ignore It! A Pattern Mixture Modelling Approach to Analysing Longitudinal Data with Non-Ignorable Missingness

Overview

Longitudinal studies often have missing data due to participants being lost to follow up. We often consider these missing data ignorable (Missing Completely At Random or Missing At Random) and analyse them using methods that produce unbiased estimates of the effect we are assessing. However, there are often good reasons why the missing data are not ignorable. This seminar will demonstrate one approach to estimating a treatment effect in longitudinal data with data that are Missing Not At Random.

The talk will be about 40 minutes long and following by discussion.

Date: Thursday 17 April 2025

Time: 2.30pm - 3.30pm

Speaker: A/Professor Nancy Briggs, UNSW Stats Central

Delivery Mode: Hybrid

Location: K-G27-G06 – AGSM Colonial Theatre, room G06

FAQs

How can I contact the organiser with any questions?

Please send us an email at: stats.central@unsw.edu.au