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Staff photo Johan Strandberg

Johan Strandberg

Contact

johan.strandberg@umu.se

+46 90 786 71 63

Works as

Associate professor at Umeå School of Business, Economics and Statistics (USBE) Section: Statistics

Samhällsvetarhuset, Biblioteksgränd 6 Umeå universitet, 901 87 Umeå

Electrocortical activity associated with movement-related fear: a methodological exploration of a threat-conditioning paradigm involving destabilising perturbations during quiet standing

Experimental Brain Research, Springer Nature 2024, Vol. 242, (8) : 1903-1915

Grinberg, Adam; Strong, Andrew; Strandberg, Johan; et al.

Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data

Computational Statistics & Data Analysis, Elsevier 2023, Vol. 177

Abramowicz, Konrad; Sjöstedt de Luna, Sara; Strandberg, Johan

An electroencephalography-based approach to evaluate movement-related anxiety in physically active adults and following anterior cruciate ligament injury

Society for Neuroscience 2022 Meeting, San Diego, Carliforna, USA, November 12-16, 2022

Grinberg, Adam; Strong, Andrew; Strandberg, Johan; et al.

Analysis Choices Impact Movement Evaluation: A Multi-Aspect Inferential Method Applied to Kinematic Curves of Vertical Hops in Knee-Injured and Asymptomatic Persons

Frontiers in Bioengineering and Biotechnology, Frontiers Media S.A. 2021, Vol. 9

Strandberg, Johan; Pini, Alessia; Häger, Charlotte; et al.

A comparison of spatiotemporal and functional kriging approaches

Geostatistical functional data analysis, John Wiley & Sons 2021 : 375-402

Strandberg, Johan; Sjöstedt de Luna, Sara; Mateu, Jorge

Non-parametric methods for functional data

Research report in mathematical statistics, 72/20

Strandberg, Johan

Multiresolution clustering of dependent functional data with application to climate reconstruction

Stat, John Wiley & Sons 2019, Vol. 8, (1)

Abramowicz, Konrad; Schelin, Lina; Sjöstedt de Luna, Sara; et al.

Prediction of spatial functional random processes: comparing functional and spatio-temporal kriging approaches

Stochastic environmental research and risk assessment (Print), Springer 2019, Vol. 33, (10) : 1699-1719

Strandberg, Johan; Sjöstedt de Luna, Sara; Mateu, Jorge

One-leg hop kinematics 20years following anterior cruciate ligament rupture: Data revisited using functional data analysis

Clinical Biomechanics, Vol. 30, (10) : 1153-1161

Hébert-Losier, Kim; Pini, Alessia; Vantini, Simone; et al.

An inferential framework for domain selection in functional anova

Contributions in infinite-dimensional statistics and related topics

Abramowicz, Konrad; Häger, Charlotte; Hérbert-Losier, Kim; et al.

Nonparametric clustering methods to identify latent structures from a sequence of dependent categorical data

Abramowicz, Konrad; Sjöstedt de Luna, Sara; Strandberg, Johan

An electroencephalography-based approach to evaluate movement-related anxiety in physically-active persons

Grinberg, Adam; Strong, Andrew; Strandberg, Johan; et al.

Analysis choices provide contrasting conclusions when evaluating jump performance: A multi-aspect inferential method applied to kinematics curves from the one-leg vertical hop in knee-injured and asymptomatic persons

Strandberg, Johan; Pini, Alessia; Häger, Charlotte; et al.

View publications in DiVA

Research groups

Members

Functional Data Analysis and Spatial Statistics

Group member

U-Motion Laboratory Research Group

Research projects

1 January 2023

Sensorimotor control after anterior cruciate ligament injury: towards a precision medicine approach

1 January 2017

Functional data analysis and applications to human movement

1 January 2015 until 31 December 2025

Knee Function after ACL Injury - genetic predisposition, clinical and laboratory assessment and long term consequences.