Mats Julius Stensrud

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mats.stensrud@epfl.ch +41 21 693 66 03

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

+41 21 693 66 03
Office:  MA B1 473
EPFL > SB > MATH > BIOSTAT

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

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

+41 21 693 66 03
Office:  MA B1 473
EPFL > SB > SB-SMA > SMA-ENS

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

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

+41 21 693 66 03
Office:  MA B1 473
EPFL > VPA-AVP-PGE > AVP-PGE-EDOC > EDMA-GE

Web site:  Web site:  https://go.epfl.ch/phd-edma

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

+41 21 693 66 03
Office:  MA B1 473
EPFL > VPA-AVP-PGE > AVP-PGE-EDOC > CDOCT

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Administrative data

Teaching & PhD

Teaching

Mathematics

PhD Students

Gasparollo Lorenzo, Gonzalez Perez Ignacio, Laurendeau Julien David, Perényi Gellért Géza, Sawant Amit Nityanand,

Past EPFL PhD Students

Janvin Matias ,

Courses

Probability and statistics (for SV)

Introduction to notions of probability and basic statistics.

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.

Biostatistics

This course covers statistical methods that are widely used in medicine and biology. A key topic is the analysis of longitudinal data: that is, methods to evaluate exposures, effects and outcomes that are functions of time. While motivated by real-life problems, some of the material will be abstract