Acknowledgments
For inspiring me with their passion for education I thank deeply my high school teachers Prof. Felice Cesana, Prof. Paola Priori and Prof. Salvatore Saini.
For guiding me towards the mastery of causal inference reasoning and teaching I am immensely grateful to Prof. Tyler VanderWeele.
I am thankful for all the students that cross my path, for giving me the opportunity of making a difference through my teaching.
Current Formal Courses
columbia university, Department of Biostatistics
Statistical Methods for Causal Inference (P8122)
Harvard university, Departments of Biostatistics and Epidemiology
Causal Mediation and Interaction (EPI542)
Suggested citation: L. Valeri. Causal Inference course materials for P8122 at Columbia University and EPI542 at Harvard University, March 2021.
Current Short Courses
National
Introduction to Causal Mediation Analysis (with Caleb Miles), Columbia University SHARP Training Institute
Causal Mediation Analysis EPID720, Summer Session in Epidemiology, University of Michigan, Ann Arbor
International
Causal Mediation Analysis ESP69, Erasmus Summer Program, Rotterdam, Netherlands
Introduction to Causal Inference, Bordeaux University Digital School of Public Health, Bordeaux, France
Introduction to Causal Inference, University of Milan, Milan, Italy
Introduction to Causal Mediation Analysis, University of Milan, Milan, Italy
Suggested citation: L. Valeri. Causal inference short course materials. Columbia University, March 2021.
Past Formal Courses
Harvard university, Departments of Biostatistics and Epidemiology
Methods I (BIO232)
Methods for Mediation and Interaction (ID542)
Past International Short Courses
Causal Mediation Analysis, Spring School in Causality, Sorbonne, Paris, France
Causal mediation analysis short training, 2021 International Society of Clinical Biostatistics.
Introduction to Causal Mediation Analysis, Summer School of Epidemiology and Biostatistics, Bordeaux University, France
Methods for Causal Mediation Analysis, BiostatEpi Summer Program, Italy (now taught by my former postdoctoral fellow Andrea Bellavia)
Introduction to Causal Mediation Analysis, Department of Epidemiology, Karolinska Institutet, Stockholm, Sweden
Lectures on Causal Inference for Public Health
Machine Learning for Environmental Mixtures. Workshop given at the APHREA-DS training session in Addis Ababa.
Causal inference for Public Health challenges and opportunities. Talk given at the Columbia Data Science Institute
Causal inference in disparities research (selected talks given at Academy Health, Society of Epidemiologic Research and Robert Wood Johnson Foundation)
Causal inference and measurement error (selected talks given at Harvard University and University of Hasselt)
Causal inference in perinatal epidemiology (selected talk given at Harvard University and article)
Ethics in Research (talk given at Harvard Medical School and McLean Hospital)
Dissemination of open access software
Book chapters
“Measurement error in causal inference” in the CRC handbook on Measurement Error Models edited by Grace Yi.
Causal Inference Learning Group @ColumbiaBiostats
I co-founded with Caleb Miles The Causal Inference Learning Group in 2018. The mission of the group is the dissemination of cutting-edge causal inference research at the Columbia Mailman School of Public Health and to encourage the flourishing of interdisciplinary collaborations in the development and application of causal inference approaches to improve public health research and decision making.
The working group holds bi-monthly meetings where the members present their ongoing research projects or interesting articles. The group includes faculty, postdocs, and students from the Departments of Biostatistics, Epidemiology, Health Policy, Environmental Health Sciences, Political Science, Statistics, Computer Science, Ecology, Evolution and Environmental Biology and Teachers College. Faculty, students and post-doctoral fellows from other universities in the New York area have joined the group as well starting in 2019.
I co-organize the activities with Caleb Miles, Daniel Malinsky, and Kara Rudolph.
If you want to be added to our mailing list send us an email at causalinferencenyc@gmail.com