Machine learning and probability: missing data solutions and analyses

Training for PhD and MSc students in the design of social research, quantitative and qualitative analysis.

Machine learning and probability: missing data solutions and analyses by Dr Patrick English

In this short course we will learn how to deal with missing data in surveys by applying machine learning driven imputation models. We will then look at how we can use probability modelling to sanity check the imputations, and then analyse the full sets of data. Previous experience with R and a familiarity with regression analysis is required.

Session Details
Time: 10.00 - 15.00 (12.00 - 13.00 Lunch break)
Date: 23 November 2026.
Mode: Hybrid: In-person at CON.1.01 and online via Zoom.

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