The Causal Mediation Analysis Training is a 3-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of concepts, data analysis methods used to investigate mediating mechanisms.
This course will cover some of the recent developments in causal mediation analysis and provide practical tools to implement these techniques and assess the mechanisms and pathways by which causal effects operate. This course will integrate lectures and discussion with hands-on computer lab sessions using R, SAS, SPSS and Stata. The course will cover the relationship between traditional methods for mediation in environmental health, epidemiology, and the social sciences and new methods in causal inference using a wide variety of examples to illustrate the techniques and approaches. We will discuss 1) when the standard approaches to mediation analysis are valid for dichotomous, continuous, and time-to-event outcomes, 2) using ideas from causal inference and natural direct and indirect effects, alternative mediation analysis techniques (parametric and semiparametric) when the standard approaches will not work, 3) the no-confounding assumptions needed for these techniques and sensitivity analyses to assess the impact of violation of these assumptions, and 4) how such mediation analysis approaches can be extended in the presence of multiple mediators.
There is a limited capacity for the Boot Camp. Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
Paid registration required through RegFox: https://columbia-workshops.regfox.com/2019-causal-mediation-analysis
More information about registration deadlines, fees, and logistics can be found on our website at https://www.mailman.columbia.edu/causal-mediation
Email us at Columbia.CMA@gmail.com
Registration Deadline: 7/3/19