Linda Valeri is Assistant Professor in Biostatistics at the Columbia University Mailman School of Public Health and Adjunct Assistant Professor in Epidemiology at Harvard T.H. Chan School of Public Health.
Valeri received an M.Sc. in Economics and Social Sciences from Bocconi University and a Ph.D. in Biostatistics from Harvard University. Her research concerns methodology for causal inference, with a focus on mediation and interaction analysis, in the presence of missing data, measurement error, intensive longitudinal data, and competing risks.
Valeri has published several methodological articles on various aspects of models for causal mediation analysis along with articles applying mediation analysis methodology in the fields of environmental health, health disparities research, and mental health. She has also led the development of several commands for mediation analysis in SPSS (mediation), SAS (mediation—now proc causalmed), STATA (med4way) and R (CMAverse). Furthermore, she has developed machine learning approaches under the Bayesian framework to estimate the potentially non-linear and non-additive total, direct, and indirect effects of a high dimensional set of exposures, and to conduct variable selection.
She serves as Associate Editor for the International Journal of Biostatistics and as Statistical Editor for JAMA Psychiatry and JAMA Network Open.
You can visit her university webpages here and here.
You can visit her personal webpage here.
Causal Mediation Analysis
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...View Details