I am a member of the Statistics in Sports and Health group at the Department of Statistical Science, UCL. I am also involved in the development of the R packages trackeR for running and cycling data and psychomix for fitting mixtures of psychometric models.
Frick H, Strobl C, Zeileis A (2015). "Rasch Mixture Models for DIF Detection: A Comparison of Old and New Score Specifications." Educational and Psychological Measurement, 75(2).
Frick H, Strobl C, Zeileis A (2014). "To Split or to Mix? Tree vs. Mixture Models for Detecting Subgroups." COMPSTAT 2014 - Proceedings in Computational Statistics, pp. 379--386. The International Statistical Institute/International Association for Statistical Computing. ISBN 978-2-8399-1347-8. [.pdf]
Frick U, Frick H, Langguth B, Landgrebe M, Hübner-Liebermann B, Hajak G (2013). "The Revolving Door Phenomenon Revisited: Time to Readmission in 17'415 Patients with 37'697 Hospitalisations at a German Psychiatric Hospital." PLOS ONE, 8(10).
Frick H, Strobl C, Leisch F, Zeileis A (2012). "Flexible Rasch Mixture Models with Package psychomix." Journal of Statistical Software, 48(7).
Gmel G, Shield K, Frick H, Kehoe T, Gmel G, Rehm J (2011). "Estimating Uncertainty of Alcohol-Attributable Fractions for Infectious and Chronic Diseases." BMC Medical Research Methodology, 11(1).
Frick H (2010). "Mixtures of Rasch Models Based on Conditional Maximum Likelihood Estimation: Implementation, Validation and Generalization of Rost's Approach." Masters Thesis, Department of Statistics, Ludwig-Maximilians-Universität München.
Frick U, Frick H (2010). "'Drehtüre' in der stationären Psychiatrie der Schweiz? Mythos oder empirische Realität?" Obsan Dossier 12, Schweizerisches Gesundheitsobservatorium Obsan.
Frick U, Frick H (2010a). "'Heavy Use' in der stationären Psychiatrie der Schweiz? Ergebnisse aus der Medizinischen Statistik der Krankenhäuser." Obsan Dossier 11, Schweizerisches Gesundheitsobservatorium Obsan.
Frick U, Frick H (2008). "Basisdaten stationärer psychiatrischer Behandlungen: Vertiefungsstudie `Heavy User' - Literaturanalyse." Forschungsprotokoll 5. Schweizerisches Gesundheitsobservatorium Obsan.
Frick H, Kosmidis I (2017). Fatigued or Ready to Train? Modelling Availability to Train via a Binary Time Series Mixed Model. Presented at "Statistics Seminar", University of York, UK.
Frick H, Kosmidis I (2017). Fatigued or Ready to Train? Modelling Availability to Train via a Binary Time Series Mixed Model. Presented at "Statistics Seminar", University of Glasgow, UK.
Frick H, Kosmidis I (2016). trackeR - Infrastructure for Running and Cycling Data in R. Presented at "RSS 2016 International Conference", University of Manchester, UK. [.html]
Frick H, Kosmidis I (2016). trackeR - Infrastructure for Running and Cycling Data in R. Presented at "useR! 2016 - The R User Conference", Stanford University, USA. [.html]
Frick H, Kosmidis I (2015). Tracking Data from GPS-Enabled Devices in R with Package 'trackeR'. Presented at "Data Science in Data-Rich Sports - Alan Turing Institute Scoping Workshop", University of London, UK. [.pdf]
Frick H, Kosmidis I (2015). Monitoring fatigue - How do physical status, wellness and training load relate? Presented at "NESSIS 2015 - New England Symposium on Statistics in Sports", Harvard University, USA.
Frick H, Strobl C, Zeileis A (2014). To Split or to Mix? Tree vs. Mixture Models for Detecting Subgroups. Presented at "CompStat 2014 - 21st International Conference on Computational Statistics", Geneva, Switzerland. [.pdf]
Frick H, Strobl C, Zeileis A (2014). To Split or to Mix? Uncovering Group Structures with Trees and Finite Mixture Models. Presented at "Psychoco 2014 - International Workshop on Psychometric Computing", Universität Tübingen, Germany. [.pdf]
Frick H, Strobl C, Zeileis A (2013). Assessing Answer Patterns in Questionnaire / Item Response Data Using Mixtures of Rasch Models. Presented at "Workshop of the ERCIM Working Group on Computing and Statistics 2013", London, UK. [.pdf]
Frick H, Strobl C, Zeileis A (2013). Assessing Answer Patterns in Questionnaire / Item Response Data Using Mixtures of Rasch Models. Presented at "DAGStat 2013 - 3rd Joint Statistical Meeting", Universität Freiburg, Germany. [.pdf]
Frick H, Strobl C, Leisch F, Zeileis A (2013). On the Specification of the Score Distribution in Rasch Mixture Models. Presented at "Psychoco 2013 - International Workshop on Psychometric Computing", Universität Zürich, Switzerland. [.pdf]
Frick H, Strobl C, Leisch F, Zeileis A (2012). Mixtures of Rasch Models with R Package psychomix. Presented at "IMPS 2012 - International Meeting of the Psychometric Society", University of Nebraska, USA. [.pdf]
Frick H, Strobl C, Leisch F, Zeileis A (2012). Mixtures of Rasch Models with R Package psychomix. Presented at "Psychoco 2012 - International Workshop on Psychometric Computing", Universität Innsbruck, Austria. [.pdf]
Frick H, Strobl C, Leisch F, Zeileis A (2011). Latent Classes of Latent Traits: Mixture Models and Item Response Theory. Presented at "Empirical and Experimental Economics - Research Platform Workshop", Universität Innsbruck, Austria. [.pdf]
Frick H, Leisch F, Zeileis A, Strobl C (2011). Mixtures of Rasch Models. Presented at "Psychoco 2011 - International Workshop on Psychometric Computing", Universität Tübingen, Germany. [.pdf]
Mixture Models in Statistics and Psychometrics - Detecting Subgroups and Differential Item Functioning (2014, Department of Mathematics, Universität Innsbruck) [.pdf]