Causal Mediation Analysis
A 2-Day Seminar Taught by Tyler VanderWeele, Ph.D.
To see a sample of the course materials, click here.
This seminar will focus on some of the recent developments in causal mediation analysis and will provide practical tools to implement those techniques. Mediation analysis deals with the mechanisms and pathways by which causal effects operate. The course will discuss the relationship between traditional methods for mediation in the biomedical and social sciences and new methods of causal inference for dichotomous, continuous, and time-to-event outcomes.
We will also consider when standard approaches to mediation analysis are valid and when they are not valid. These approaches will be extended to more complex settings. The no-confounding assumptions needed for these techniques will be discussed in detail. SAS, SPSS and Stata macros to implement mediation methods will be demonstrated and distributed to course participants.
Other topics include the use and implementation of sensitivity analysis (to assess how sensitive conclusions are to violations of assumptions) and extensions to multiple mediators.
Who should attend?
Course prerequisites: Familiarity with linear and logistic regression. Some knowledge of counterfactual or potential outcomes notation is helpful, but not necessary.
In all cases, methods will be illustrated using software, with SAS, Stata, SPSS, and R examples and syntax. This is a hands-on course with at least one hour each day devoted to carefully structured and supervised assignments.
To do the exercises, you will need to bring your own laptop computer with a recent version of SAS or Stata or SPSS or R. SAS and Stata will be supported by the instructor. Macros in SPSS and R will also be accessible, but SPSS and R will not be directly supported by the instructor.
LOCATION, FORMAT AND MATERIALS
The class will meet from 9 am to 5 pm each day with a 1-hour lunch break at Sheraton Boston Hotel, 39 Dalton Street, Boston, MA, 02199.
Participants receive a bound manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of note taking.
Registration and lodging
The fee of $995.00 includes all seminar materials. The early registration fee of $895.00 is available until September 13.
If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).
Lodging Reservation Instructions
A block of rooms has been reserved at the Sheraton Boston Hotel, 39 Dalton Street, Boston, MA, 02199 at a special rate of $279 per night. In order to guarantee rate and availability, make your reservations by clicking here or by calling Sheraton Reservations 1-(888) 627-7054, giving the hotel name (Sheraton Boston Hotel), and the group code ‘SJ12AB” no later than 5 pm on Friday, September 15, 2017.
1. Concepts and methods for mediation
2. Sensitivity analysis
3. Mediation with time-to-event outcome
4. Multiple mediators
5. Surrogate outcomes
6. A unification of mediation and interaction
“This course taught the nuts and bolts of Causal Mediation within a framework that is very intuitive. Anyone that is serious about causal inference or moving beyond Structural Equation Modeling to test the robustness of SEM must take this course. Tyler is an excellent teacher and his technical mechanics of Causal Mediation are inspiring.”
Horace Bartilow, University of Kentucky
“Dr. Vanderweele did an amazing job of condensing essentially an entire course down into the key concepts that could be covered in 2-days. The materials from this course will be an invaluable resource as I move forward with my own mediation analysis and be a resource for further learning. Dr. Vanderweele was very knowledgeable and a dynamic presenter- would highly recommend this course!”
Carolyn Brown, Emory University, Rollins School of Public Health
“Great, high quality course with a competent and very skilled topic expert as the instructor. I can’t wait to apply the methods of Causal Mediation Analysis in practice.”
Lodewijk Smets, World Bank
“It is advanced in terms of materials and theory. However, it is extremely helpful. The instructor is very knowledgeable, enthusiastic, and the materials were very organized. I learned a lot from this and wish the workshop lasted three days.”
Xinhua Yu, University of Memphis
“Excellent course for all researchers, i.e., graduate students and faculties. Complex materials are explained in a very simple way with examples. A number of macros are provided to implement these methods and additional references. Open for questions and responded to every query in detail. I have taken several courses at Statistical Horizons and this is the BEST.”
Towhidul Islam, University of Guelph
“An excellent review on the theory of Causal Mediation and the material was broken down in a comprehensible format. Dr. Vanderweele is one the best methodologists out there, and it is truly great to learn from one of the leading subject matter experts.”
Alexi Archambault, Cornell University, Weill Cornell Medicine