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Treatment and Reporting of Missing Data

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About this event

What to expect

Missing data is one of the most common challenges in research, yet it's often overlooked or poorly handled. This intensive 4-hour workshop at the University of Leeds provides researchers and students with practical, evidence-based methods for treating and reporting missing data in their studies. Whether you're struggling with incomplete survey responses, dropouts in longitudinal studies, or gaps in administrative datasets, this workshop will equip you with the tools and confidence to handle missing data robustly.

What You'll Learn

The workshop covers essential missing data methods through hands-on activities and real-world examples. You'll explore missingness causal diagrams to guide your analytical decisions, understand when and how to apply multiple imputation (MI)—one of the most flexible and widely-used missing data techniques—and learn about alternative approaches including inverse probability weighting and likelihood-based methods. The session will also compare complete case analysis versus MI, helping you understand the trade-offs and choose the right approach for your research context.

A key focus is the midoc package, a powerful tool designed to help researchers plan and execute analyses with missing data. You'll get hands-on practice with midoc's web-based tools during the workshop (laptop required). If you're comfortable with R programming, you can also explore the package's programming interface—just ensure you have R version 4.3.1 or later installed.

Expert Contributors

Learn from leading researchers in the field: Dr Rosie Cornish, Senior Research Fellow in Medical Statistics and Epidemiology at the University of Bristol, brings expertise in handling missing data and working with administrative health data. Dr Ellie Curnow, Research Fellow and Lecturer in Medical Statistics at Bristol, specialises in missing data and survival analysis methods. Professor Jose Pina-Sánchez, Director of Advanced Quantitative Methods for the WRDTP and Professor in Quantitative Criminology at Leeds, rounds out the teaching team.

Who Should Attend

This workshop is ideal for PhD students and researchers who encounter miss

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