April 2022 Turing-Roche Knowledge Share series: Modern topics in missing data

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This is a recording of the event held in April 2022 which explored the topic of missing data- a common problem that arises in many fields that can significantly complicate analysis. This event features Vicky Hellon, Community Manager for the Turing-Roche Partnership, Dr Robin Mitra, Senior Lecturer in Mathematics from Cardiff University and Dr Chris Harbron, Expert Statistical Scientist and Advanced Analytics Lead at Roche.

Robin gives an introduction to missing data, what problems it can cause and how we can deal with it. He also provides an illustration involving a study on survival times after receiving an organ transplant.

Chris gives an introduction to the concept of 'structured missingness', lays out some of the main challenges and emerging areas for research around this concept and shares some of the work the partnership has started in characterising the different types of missing data.

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0:00 Intro
0:34 Introduction to the partnership and speakers
4:10 Robin Mitra Missing Data talk introduction
5:09 Introduction to Missing Data
6:40 Missing Data Mechanisms
7:39 Illustration of different Missing Data Mechanisms
10:05 Complete case illustration
11:15 Explanation of multiple imputation
14:31 Inference with multiply imputed data
15:49 Example of a Missing Data by design problem- survival times of patients undergoing a kidney transplant
23:42 Conclusion of Robin's talk
25:35 Chris Harbron Structured Missingness talk introduction
27:21 What is Structured Missingness?
29:07 Clinico-genomic database as an example of Structured Missingness
33:17 Why is Structured Missingness worth considering?
35:23 Grand Challenges for Structured Missingness
40:48 Charcterising Structured Missingness
46:26 Where next for the partnership Structured Missingness research theme
47:40 Q&A Session
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