Gostaria de convida-los para participar do minicurso sobre Inferencia Causal
que sera’ ministrado pela Profa Erica Moodie
(http://www.medicine.mcgill.ca/epidemiology/moodie/) durante sua visita ao
Programa de Pos Graduacao em Estatistica da UFRJ.
Ainda ha’ vagas!
Inscricoes podem ser feitas diretamente comigo no email firstname.lastname@example.org .
Horario: 9h as 12h e 13:30h as 16:30h
Local: Sala C-116, Instituto de Matematica, Centro de Tecnologia, UFRJ
Titulo: Introduction to Causal Inference: Philosophy, Framework, and Key Methods
Erica E. M. Moodie
Department of Epidemiology, Biostatistics & Occupational Health
McGill University, Canada
In this workshop, causal inference will be introduced from first principles,
surveying approaches for a single-interval through to methods for longitudinal
data. Beginning with the philosophical developments of causality as the study
of etiology, confounding and the counterfactual framework will be explained.
The propensity score and the concept of covariate balance will then be
considered. Finally, estimators of marginal effects will be considered,
focusing first on the effect of a time-fixed treatment and then proceeding to
the more complex setting of time-varying treatments.
1. Causality, confounding and the counterfactual framework
2. Marginal effects for time-fixed treatments
3. Marginal effects for time-varying treatments