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Statistics in Medicine|June 8, 2026
Effect Size Rules of Thumb for One-Dimensional Functional Data With an Application to Gait AnalysisTodd Pataky, Alessia Pini, Ezio Preatoni, et al.Sports Biomechanics|October 4, 2019
Test-retest reliability measures for curve data: an overview with recommendations and supplementary codeAlessia Pini, Jonas L Markström, Lina SchelinFrontiers in Bioengineering and Biotechnology|May 31, 2021
Analysis Choices Impact Movement Evaluation: A Multi-Aspect Inferential Method Applied to Kinematic Curves of Vertical Hops in Knee-Injured and Asymptomatic PersonsJohan Strandberg, Alessia Pini, Charlotte K Häger, et al.Journal of Biomechanics|June 25, 2021
Test-retest reliability of entire time-series data from hip, knee and ankle kinematics and kinetics during one-leg hops for distance: Analyses using integrated pointwise indicesLina Schelin, Alessia Pini, Jonas L Markström, et al.Journal of Biomechanics|August 1, 2024
Confidence sets for intraclass correlation coefficients in test-retest curve measurementsMohammad Reza Seydi, Alessia Pini, Todd C Pataky, et al.Biometrics|March 30, 2022
Domain selection and familywise error rate for functional data: A unified frameworkKonrad Abramowicz, Alessia Pini, Lina Schelin, et al.Clinical Biomechanics (Bristol, Avon)|September 15, 2015
One-leg hop kinematics 20 years following anterior cruciate ligament rupture: Data revisited using functional data analysisKim Hébert-Losier, Alessia Pini, Simone Vantini, et al.Journal of Sport and Health Science|October 26, 2018
Can coordination variability identify performance factors and skill level in competitive sport? The case of race walkingDario Cazzola, Gaspare Pavei, Ezio PreatoniFrontiers in Bioengineering and Biotechnology|August 1, 2020
Supervised Machine Learning Applied to Wearable Sensor Data Can Accurately Classify Functional Fitness Exercises Within a Continuous WorkoutEzio Preatoni, Stefano Nodari, Nicola Francesco LopomoSports Biomechanics|January 20, 2022
A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technologyJoshua Autton Carter, Adrian Rodriguez Rivadulla, Ezio PreatoniPageof 11