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Causal inference in epidemiology: recent methodological developments 6-10 November 2017 London School of Hygiene & Tropical Medicine ____________________________________________________________________________ COURSE ORGANISERS Karla DiazOrdaz, Simon Cousens and Stijn Vansteelandt Guest lecturer: Rhian Daniel Causal inference is a central aim of many empirical investigations, and arguably most studies in the fields of medicine, epidemiology and public health. However, traditionally, the role of statistics is often relegated to quantifying the extent to which chance could explain the results, whilst concerns over systematic biases due to the non-ideal nature of the data are relegated to their qualitative discussion. The field known as causal inference has changed this state of affairs, setting causal questions within a coherent framework which facilitates explicit statement of all the assumptions underlying a given analysis, in many settings developing novel, flexible analysis methods, and allowing extensive exploration of potential biases. This course will discuss the current state of the art with respect to these issues, while retaining a practical focus, using Stata. The potential outcomes framework, causal diagrams, standardization, propensity scores, inverse probability weighting, instrumental variables, marginal structural models, causal mediation analysis and examples of sensitivity analysis will be discussed. Participants will acquire awareness of the common threads across these new methods and competence in applying them in simple settings. Who should apply? Participants will be expected to be numerate epidemiologists, or statisticians with an interest in epidemiology and clinical trials. An MSc in Epidemiology or Medical Statistics, or previous attendance to the Advanced Course in Epidemiological Analysis, would be an advantage. Course fee The fee for 2017 is £1,195 FOR FURTHER INFORMATION CONTACT: [log in to unmask] TO REGISTER VISIT: https://www.lshtm.ac.uk/study/courses/short-courses/causal-inference-epidemiology You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.