**Please note that this course is now full**
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. 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 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. Workshops use the statistical package R, though all R code is provided as focus is not the statistical programming but understanding the concepts that are demonstrated by execution of the R code provided. Please get in touch if you have any questions about the suitability of the course.
By the end of this course the participants should:
Student rate: £225
Funding was available from SSM for 6 ECR & 6 MCR researchers, please note that only 1 funded MCR space remains. Please indicate on the form if you wish to apply for the funded places, these will be allocated on a first come first serve basis; you must have been an SSM member since the beginning of this year.
Please note that this course is now full. For enquiries about the course, please contact Eleri Pound.