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 journalArticle

72 Citations (Scopus)

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

Fingerprint

Statistical Data Interpretation
Autoimmune Experimental Encephalomyelitis
Research
Animal Disease Models
Multiple Sclerosis
Rodentia
Research Design

Keywords

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

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology
  • Neurology
  • Clinical Neurology

Cite this

Statistical analysis of data from studies on experimental autoimmune encephalomyelitis. / Fleming, Kandace K.; Bovaird, James A; Mosier, Michael C.; Emerson, Mitchell R.; LeVine, Steven M.; Marquis, Janet G.

In: Journal of Neuroimmunology, Vol. 170, No. 1-2, 30.12.2005, p. 71-84.

Research output: Contribution to journalArticle

Fleming, Kandace K. ; Bovaird, James A ; Mosier, Michael C. ; Emerson, Mitchell R. ; LeVine, Steven M. ; Marquis, Janet G. / Statistical analysis of data from studies on experimental autoimmune encephalomyelitis. In: Journal of Neuroimmunology. 2005 ; Vol. 170, No. 1-2. pp. 71-84.
@article{d1af624f1eda43c3b023c5290df5e7ff,
title = "Statistical analysis of data from studies on experimental autoimmune encephalomyelitis",
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.",
keywords = "Data analysis, Experimental allergic encephalomyelitis, Multiple sclerosis, Statistical significance, Statistics, Study design",
author = "Fleming, {Kandace K.} and Bovaird, {James A} and Mosier, {Michael C.} and Emerson, {Mitchell R.} and LeVine, {Steven M.} and Marquis, {Janet G.}",
year = "2005",
month = "12",
day = "30",
doi = "10.1016/j.jneuroim.2005.08.020",
language = "English (US)",
volume = "170",
pages = "71--84",
journal = "Journal of Neuroimmunology",
issn = "0165-5728",
publisher = "Elsevier",
number = "1-2",

}

TY - JOUR

T1 - Statistical analysis of data from studies on experimental autoimmune encephalomyelitis

AU - Fleming, Kandace K.

AU - Bovaird, James A

AU - Mosier, Michael C.

AU - Emerson, Mitchell R.

AU - LeVine, Steven M.

AU - Marquis, Janet G.

PY - 2005/12/30

Y1 - 2005/12/30

N2 - 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.

AB - 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.

KW - Data analysis

KW - Experimental allergic encephalomyelitis

KW - Multiple sclerosis

KW - Statistical significance

KW - Statistics

KW - Study design

UR - http://www.scopus.com/inward/record.url?scp=28444468799&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=28444468799&partnerID=8YFLogxK

U2 - 10.1016/j.jneuroim.2005.08.020

DO - 10.1016/j.jneuroim.2005.08.020

M3 - Article

VL - 170

SP - 71

EP - 84

JO - Journal of Neuroimmunology

JF - Journal of Neuroimmunology

SN - 0165-5728

IS - 1-2

ER -