Advanced Modelling Strategies: challenges and pitfalls in robust causal inference with observational
Date:
17/07/2017 - 20/07/2017
Organised by:
University of Leeds
Presenter:
Prof Mark S Gilthorpe (Medicine, Leeds)
Level:
Advanced (specialised prior knowledge)
Contact:
Eleri Pound e.a.pound@leeds.ac.uk
Description:
This four day summer school, supported by SSM, is designed to give an introduction to the common pitfalls and challenges in statistical multivariable regression modelling of observational data.
This 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.
Many of the workshop examples that are presented in this course will be taken from the epidemiological literature, though the same multivariable statistical modelling strategies engaged will be familiar to a variety of other disciplines, and hence the relevance of the methodology and application within the course is not restricted to health researchers. Please get in touch if you have any questions about the suitability of the course.
Cost:
Student rate: £225
Full rate: £450
Website and registration:
Region:
Yorkshire and Humberside
Keywords:
Statistical Theory and Methods of Inference, Regression Methods, causal inference
Related publications and presentations:
Statistical Theory and Methods of Inference
Regression Methods