Mats Julius Stensrud

EPFL SB MATH BIOSTAT
MA B1 473 (Bâtiment MA)
Station 8
CH-1015 Lausanne

Web site:  Web site:  https://www.epfl.ch/labs/biostat/

EPFL SB MATH BIOSTAT
MA B1 473 (Bâtiment MA)
Station 8
CH-1015 Lausanne

Web site:  Web site:  https://sma.epfl.ch/

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Administrative data

Teaching & PhD

Teaching

Mathematics

Courses

Randomization and causation

This course covers formal frameworks for causal inference. We focus on experimental designs, definitions of causal models, interpretation of causal parameters and estimation of causal effects.

Causal thinking

This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology.

Foundations of causal inference

This seminar will provide a survey of the canonical literature in causal inference. At the end of this course, students will gain a broad understanding of the most important methodological concepts and tools in this field, and will be equipped to critically engage and contextualize modern literature