Statistical analysis of data from studies on experimental autoimmune encephalomyelitis

Kandace K. Fleming, James A. Bovaird, Michael C. Mosier, Mitchell R. Emerson, Steven M. LeVine, Janet G. Marquis

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

Research in multiple sclerosis often employs animal models of the disease, especially experimental autoimmune encephalomyelitis (EAE) in rodents. The statistical analysis procedures chosen for these studies are often suboptimal, either because of violations of the assumptions of the procedure or because the analysis selected is inappropriate for the research question. In this paper, we discuss the types of research questions frequently asked in EAE studies and suggest appropriate and useful research designs and statistical methods that will optimize the information contained within the data. We also discuss other troublesome issues such as missing data, atypical disease profiles, and power analysis.

Original languageEnglish (US)
Pages (from-to)71-84
Number of pages14
JournalJournal of Neuroimmunology
Volume170
Issue number1-2
DOIs
StatePublished - Dec 30 2005

Keywords

  • Data analysis
  • Experimental allergic encephalomyelitis
  • Multiple sclerosis
  • Statistical significance
  • Statistics
  • Study design

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology
  • Neurology
  • Clinical Neurology

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