Johan Larsson

Johan Larsson
Lund University | LU · Department of Statistics

PhD Student

About

15
Publications
2,143
Reads
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58
Citations
Citations since 2017
12 Research Items
54 Citations
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201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214
Introduction
I am a doctoral student at the Department of Statistics at Lund University. I used to be a physical therapist active in research on chronic pain and dizziness.
Additional affiliations
June 2015 - present
Skåne University Hospital
Position
  • Research Assistant
June 2014 - February 2015
Lund University
Position
  • Research Assistant

Publications

Publications (15)
Conference Paper
Full-text available
Euler diagrams are common and user-friendly visualizations for set relationships. Most Euler diagrams use circles, but circles do not always yield accurate diagrams. A promising alternative is ellipses, which, in theory, enable accurate diagrams for a wider range of input. Elliptical diagrams, however, have not yet been implemented for more than th...
Preprint
Full-text available
Extracting relevant features from data sets where the number of observations ($n$) is much smaller then the number of predictors ($p$) is a major challenge in modern statistics. Sorted L-One Penalized Estimation (SLOPE), a generalization of the lasso, is a promising method within this setting. Current numerical procedures for SLOPE, however, lack t...
Preprint
Full-text available
Predictor screening rules, which discard predictors from the design matrix before fitting a model, have had sizable impacts on the speed with which $\ell_1$-regularized regression problems, such as the lasso, can be solved. Current state-of-the-art screening rules, however, have difficulties in dealing with highly-correlated predictors, often becom...
Preprint
Full-text available
Numerical validation is at the core of machine learning research as it allows to assess the actual impact of new methods, and to confirm the agreement between theory and practice. Yet, the rapid development of the field poses several challenges: researchers are confronted with a profusion of methods to compare, limited transparency and consensus on...
Preprint
The lasso is the most famous sparse regression and feature selection method. One reason for its popularity is the speed at which the underlying optimization problem can be solved. Sorted L-One Penalized Estimation (SLOPE) is a generalization of the lasso with appealing statistical properties. In spite of this, the method has not yet reached widespr...
Article
Objectives: Acute as well as chronic pain syndromes are common after whiplash trauma and exercise therapy is proposed as one possible intervention strategy. The aim of the present systematic review was to evaluate the effect of exercise therapy in patients with Whiplash-Associated Disorders for the improvement of neck pain and neck disability, com...
Preprint
The lasso is a popular method to induce shrinkage and sparsity in the solution vector (coefficients) of regression problems, particularly when there are many predictors relative to the number of observations. Solving the lasso in this high-dimensional setting can, however, be computationally demanding. Fortunately, this demand can be alleviated via...
Article
Background and aims Persistent neck pain is common and can be detrimental to the health of those who are affected. This is particularly common after neck trauma, where it poses a challenge to health care providers. In this paper, we present the design and results of a study aimed primarily at assessing the feasibility of a supervised exercise inter...
Article
Full-text available
Background and aims Studies on the interaction between acceptance and pain-related processes after neck trauma are to our knowledge sparse and such treatment strategies are rarely incorporated in management and treatment of posttraumatic neck pain. Thus, the aim of the present study is to investigate how acceptance relates to persistent pain in pat...
Article
Full-text available
Evidence suggests that research benefits from diversity, yet science is concentrated to a small group of countries. Diversity in physical therapy research has so far not been studied thoroughly, and this is the first study to map physical therapy research geographically. The objective was to study the frequency and methodological quality of physica...
Article
Full-text available
Objectives: To analyze a cohort of 745 consecutive patients referred to a regional specialist clinic for evaluation of post-traumatic neck pain during a five-year period. Methods: A cross-sectional observational study of baseline assessments performed by multi-professional rehabilitation teams according to a standardized checklist. Results: The c...

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