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Umeå universitet
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Personalbild Johan Strandberg

Johan Strandberg

Kontakt

E-post
johan.strandberg@umu.se
Telefon
090-786 71 63

Verksam som

Anknytning
Universitetslektor vid Handelshögskolan vid Umeå universitet Enhet: Statistik
Plats
Samhällsvetarhuset, Biblioteksgränd 6 Umeå universitet, 901 87 Umeå
Influence of noise and effect characteristics on statistical power in the analyses of one-dimensional biomechanical trajectories
Journal of Biomechanics, Elsevier 2026, Vol. 201
Seydi, Mohammad Reza; Pataky, Todd C.; Strandberg, Johan; et al.
Sample size estimation for local hypothesis testing of functional data in medical studies: method comparison, recommendations, and a web application
BMC Medical Research Methodology, BioMed Central (BMC) 2026, Vol. 26, (1)
Seydi, Mohammad Reza; Strandberg, Johan; Pataky, Todd C.; et al.
Jaw and head movement adjustments during jaw function: comparisons between and within 13‐year‐olds and adults
European Journal of Oral Sciences, John Wiley & Sons 2025, Vol. 133, (6)
Nilsson, Evelina; Häger, Charlotte; Schelin, Lina; et al.
Sample size estimation for two-sample functional hypothesis test
New trends in functional statistics and related fields, Cham: Springer 2025 : 483-491
Seydi, Mohammad Reza; Strandberg, Johan; Pataky, Todd C.; et al.
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.
Visa publikationer i DiVA