Claus Thorn Ekstrøm

Professor

University of Copenhagen

Denmark

Research Interests

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Claus Thorn Ekstrøm is a Professor at the University of Copenhagen, Denmark. His research areas include childhood adversity and eating disorders, interventions for alcohol use disorder, and advanced statistical methodologies such as Gaussian process regression. He has published extensively on topics related to mental health, obesity, and social and life course research.

Articles (15)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (21)

Sünje Johanna Pamp

Technical University of Denmark

DENMARK

Claus Thorn Ekstrøm

Research Interests

Contact this professor

About

Articles (15)

Trajectories of Childhood Adversity and Eating Disorders in Adolescence

Gaussian Process Regression for Value‐Censored Functional and Longitudinal Data

Does semaglutide reduce alcohol intake in Danish patients with alcohol use disorder and comorbid obesity? Trial protocol of a randomised, double-blinded, placebo-controlled clinical trial (the SEMALCO trial)

Causal discovery and epidemiology: a potential for synergy

Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau: Exploratory and Validation Cohort Study

A composite immune and vascular stress marker in patients newly diagnosed with bipolar disorder and their unaffected first-degree relatives

Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs

A Joint Model for Longitudinal and Time-to-event Data in Social and Life Course Research

Liraglutide 3.0 mg once daily for the treatment of overweight and obesity in patients hospitalised at a forensic psychiatric department: A 26‐week open‐label feasibility study

Joint regression analysis of multiple traits based on genetic relationships

Predicting mortality and visualizing health care spending by predicted mortality in Danes over age 65

Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies

Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation

Library Preparation and Sequencing Platform Introduce Bias in Metagenomic-Based Characterizations of Microbiomes

Causes of Outcome Learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome

Collaborators (21)

Sünje Johanna Pamp

Sebastian Lapuschkin

Anne H. Petersen

Padmaja Subbarao2,3,4

Naja Hulvej Rod

Stuart Turvey

Anne Vinkel Hansen

Andrea Joensen

Adam Gorm Hoffmann

Katrine Strandberg-Larsen

Thorkild I.A. Sørensen

Laust Hvas Mortensen

Angela Pinot de Moira

Anne-Marie Nybo Andersen

Leila Arras

Julie Forman

Maja Popovic

Heresh Amini

Tim Cadman

Casper Sahl Poulsen

Jolien Cremers

Make your next move.