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Related Concept Videos

Review and Preview01:10

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
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When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
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Multiple sclerosis - a review.

R Dobson1,2, G Giovannoni2,3

  • 1Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, London, UK.

European Journal of Neurology
|October 10, 2018
PubMed
Summary
This summary is machine-generated.

Multiple sclerosis (MS) is a growing global health concern. Research suggests gene-environment interactions, including vitamin D levels and Epstein-Barr virus, contribute to MS development and increasing incidence.

Keywords:
clinically isolated syndromediagnosisdisease-modifying therapyepidemiologymultiple sclerosis

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Area of Science:

  • Neurology
  • Epidemiology
  • Immunology

Background:

  • Multiple sclerosis (MS) is the leading non-traumatic disabling disease in young adults.
  • Global incidence of MS is rising, posing significant socioeconomic challenges.
  • The exact causes of MS and its increasing prevalence are unclear, but likely involve complex gene-environment interactions.

Purpose of the Study:

  • To review the epidemiology of multiple sclerosis.
  • To discuss potential etiological factors and pathology.
  • To cover clinical aspects of MS diagnosis and management.

Main Methods:

  • Comprehensive literature review.
  • Analysis of epidemiological data.
  • Discussion of etiological factors and clinical management.

Main Results:

  • Epidemiological studies suggest links between MS and low vitamin D, smoking, childhood obesity, and Epstein-Barr virus infection.
  • Advancements in diagnostics allow for earlier MS detection, including pre-symptomatic stages.
  • Treatment options for MS have expanded significantly in number, efficacy, and risk profile.

Conclusions:

  • Understanding MS epidemiology and risk factors is crucial for developing preventive strategies.
  • Early diagnosis and evolving treatment landscapes are transforming MS care.
  • Further research into gene-environment interactions is needed to elucidate MS pathogenesis.