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Andrew R. Gray

Researcher at University of Otago

Publications -  314
Citations -  9323

Andrew R. Gray is an academic researcher from University of Otago. The author has contributed to research in topics: Population & Randomized controlled trial. The author has an hindex of 49, co-authored 306 publications receiving 8102 citations. Previous affiliations of Andrew R. Gray include University of Florida.

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Disabling musculoskeletal pain in working populations: is it the job, the person or the culture?

David Coggon, +60 more
- 01 Jun 2013 - 
TL;DR: Large international variation in the prevalence of disabling forearm and back pain among occupational groups carrying out similar tasks, which is only partially explained by the personal and socioeconomic risk factors that were analysed, is indicated.
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Patterns of multisite pain and associations with risk factors.

David Coggon, +55 more
- 01 Sep 2013 - 
TL;DR: Cross‐sectional data from the CUPID study supports the classification of pain at multiple anatomical sites simply by the number of sites affected, and suggests that extensive pain differs importantly in its associations with risk factors from pain that is limited to only a small number of anatomical sites.
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Descriptive Epidemiology of Somatising Tendency: Findings from the CUPID Study

Sergio Vargas-Prada, +59 more
- 29 Apr 2016 - 
TL;DR: This study supports the use of questions from the Brief Symptom Inventory as a method for measuring somatising tendency, and suggests that in adults of working age, it is a fairly stable trait.
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FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition

TL;DR: This paper investigates adaptive learning, rule extraction and insertion, and neural/fuzzy reasoning for a particular model of a fuzzy neural network called FuNN, which incorporates a genetic algorithm in one of its adaptation modes.
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Using accelerometers and GPS units to identify the proportion of daily physical activity located in parks with playgrounds in New Zealand children.

TL;DR: The proportion of children's activity taking place in parks with playgrounds was low, although this may still be important for some subgroups, and accelerometers and GPS data was able to be successfully recorded and matched among this age group.