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Training Event / Jul 9 @ 8:00 am - Jul 13 @ 5:00 pm

Advanced Modelling Strategies: challenges and pitfalls in robust causal inference with observational data

This five-day summer school, is designed to give an introduction to the common pitfalls and challenges in statistical multivariable regression modelling of observational data.  The school is run by Prof Mark S Gilthorpe (Medicine, Leeds) with input from Dr Peter WG Tennant (Healthcare, Leeds) and Dr George TH Ellison(Medicine, Leeds) and is based on materials prepared in conjunction with Dr Johannes Textor (Radboud University Medical Center, Nijmegen).

By the end of the course, participants will be able to critically appraise a wide range of applications of statistical regression models as presented in the literature with respect to the exploration of complex, potentially causal relationships, including the longitudinal analyses of change, mediation, non-linearity and statistical interaction.

Knowledge will be developed that helps identify modelling strategies that are potentially erroneous and understanding alternative strategies (if they exist) that avoid the adverse impacts of mathematical coupling, the family of paradoxes called the reversal paradox (that include Simpson’s paradox, Lord’s paradox and suppression), compositional data, and inappropriate employment of ratio variables.  This will all be set within a framework of seeking robust causal inference, with a blend of lectures and workshops that provide first-hand insight to practical worked examples.

Applications will open early next year. Please contact Hayley Irving to express an interest in applying.


Jul 9 @ 8:00 am
Jul 13 @ 5:00 pm
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