Erika Helgeson, PhD

My methodological research interests include statistical machine learning, data mining, and nonparametric methods for complex, high-dimensional data. I currently am working on developing novel methods to identify and validate clusters in high-dimensional, low-sample size data sets. My applied research interests include chronic pain conditions, specifically temporomandibular disorders and canine osteoarthritis.

Selected Recent Publications:

• Knazovicky D, Helgeson E, Case B, Thomson A, Gruen M, Maixner W, and Lascelles B. “Replicate effects and test-retest reliability of quantitative sensory threshold testing in dogs with and without chronic pain," Vet Anaesth Analg, 2017
• Knazovicky D, Helgeson E, Case B, Gruen M, Maixner W, and Lascelles B. “Widespread somatosensory sensitivity in naturally occurring canine model of osteoarthritis," PAIN, 2016
• Meloto C, Bortsov A, Bair E, Helgeson E, Ostrom C, Smith S, Dubner R, Slade G, Fillingim R, Greenspan J, Ohrbach R, Maixner W, McLean S, and Diatchenko L. “Modification of COMT-dependent pain sensitivity by psychological stress and sex," PAIN, 2016
• Bair E, Ohrbach R, Fillingim R, Greenspan J, Dubner R, Diatchenko L, Helgeson E, Knott C, Maixner W, Slade G. “Multivariable modeling of phenotypic risk factors for first-onset TMD: the OPPERA prospective cohort study," J. Pain, 2013