Statistics

Latest news

Grants from Forte and Handelsbanken

Research funding of 10.8 million has been granted from Forte and Handelsbanken.

USBE Scientific Awards 2020

This year's recipients are Medhanie Gaim, Sonal Yadav and Anita Lindmark.

The USBE Scientific Awards 2019

The recipients this year are Tatbeeq Raza Ullah, Emma Persson and Mattias Vesterberg.

Features

Developing accurate statistical methods

Award-winning researcher Tetiana Gorbach develops methods to analyse longitudinal data.

Infrastructures

Computational Analytics Support Platform (CASP)

We aim to support researchers understand complex biological systems via the use of data-driven modelling tools

Research area: Chemical sciences, Computing science, Infection biology, Statistics

Umeå SIMSAM Lab

Research area: Demography, Sociology, Statistics

Research projects

Innovative statistical methods for standardized achievement tests to ensure comparability and fairness of test scores

Research area: Statistics

1 January 2020 until 31 December 2025

Research project

DISTIME Ageing with disabilities in past, present and future societies: Risks, loads and later life outcomes

Research area: Demography, History, Media and communications, Social work, Statistics

1 January 2020 until 31 December 2024

Research project

Strengthen service provision among people with disabilities that experience intimate-partner violence in Sweden (DIS-IPV)

Research area: Demography, Social work, Statistics

1 April 2019 until 30 April 2023

Research project

Uncovering the mechanisms behind socioeconomic inequalities in stroke care and outcome through innovative statistical methods for mediation analysis

Research area: Statistics

1 January 2019 until 31 December 2022

Research project

Methodological development for estimating marginal causal effects of non-randomized treatments on time-to-event outcomes

Research area: Statistics

1 January 2019 until 31 December 2022

Research project

Stat4Reg

Stat4Reg is a research laboratory, where scientists work at developing causal machine learning models, methods and free software for the analysis o...

Research area: Statistics

Statistical Learning and Inference for Spatio-Temporal Data

The research group at the Department of Mathematics and Mathematical Statistics is led by Prof. Jun Yu and conducts research in signal/image analys...

Research area: Mathematics, Statistics