[Forum SIS] Course on Propensity Score Methods for Observational Data Analysis, Bicocca December 13, 2018

[Rino Bellocco]

Dear Colleagues,

Dr. Hongwei Zhao, Professor in Biostatistics from the Department of 
Epidemiology and Biostatistics School of Public Health, Texas A&M 
University, within her visiting period at the Department of Statistics 
and Quantitative Methods, from Milano-Bicocca will be holding a short 
introductory course on propensity score modeling, with the support of 
the Unit of Biostatistics, Epidemiology and Biostatistics, of the 
University of Milano Bicocca.

The course introduces concepts of potential outcomes and causal 
effects, and covers propensity score (PS) based methods for making 
causal inference for observational data. We will  discuss the 
assumptions and the theory for PS based methods, using a real data 
example to illustrate the steps for different PS based approaches to 
estimate the causal treatment eect. The PS based methods include PS 
matching, PS stratication, PS regression, inverse probability 
weighting, and doubly robust estimators. We will also introduce other 
related topics for causal inference, e.g. the marginal structural models 
and the g-methods for estimating effect modifications and time-varying 
treatment effects, causal mediation analysis, and instrumental variable 
methods for handling unmeasured confounding.

When: December 13, 2017
Time: 9:30-12:30; 13:30-16:30
Place:  Aula De Lillo Building U7 - Second Floor

More info under:

http://biostatunimib.altervista.org/SBEPH2017/


Yours,

Rino Bellocco

-- 
Rino Bellocco, Sc.D.
Department of Statistics and Quantitative Methods,
University of Milano-Bicocca, Milan, Italy

Department of Medical Epidemiology and Biostatistics,
Karolinska Institutet, Stockholm, Sweden