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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Journal JoVE
Médecine
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Journal JoVE Médecine
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
DOI:

10:46 min

December 09, 2015

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Chapitres

  • 00:05Titre
  • 01:06Preparing the Observed Relapse Onset Data
  • 03:10Building a Model
  • 04:40Estimating the Peak Relapse Probability
  • 05:26Modeling the Ultraviolet Radiation Data (UVR)
  • 07:05Modeling UVR-trough-to-relapse-peak Lag
  • 08:34Results: MS-patient Seasonal Relapse with an Equatorial Effect
  • 09:50Conclusion

Summary

Traduction automatique

Combining plot analysis with trigonometric regression is a robust method for exploring complex, cyclical phenomena such as relapse onset timing in multiple sclerosis (MS). This method enabled unbiased characterisation of seasonal trends in relapse onset permitting novel inferences around the influence of seasonal variation, ultraviolet radiation (UVR) and latitude.

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