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  1. ME/CFS Science Blog

    Medscape: FDA Approves New Myasthenia Gravis Drug

    This was in the national news because the drug was developed by a Belgian company. It is based on antibodies of lama's and the company hopes to test it out on other illnesses as well. The phase III study for myasthenia gracvs was published in Lancet Neurology...
  2. ME/CFS Science Blog

    Medscape: FDA Approves New Myasthenia Gravis Drug

    The US Food and Drug Administration (FDA) has approved efgartigimod (Vyvgart, argenx), a first-in-class, targeted therapy for adults with generalized myasthenia gravis (gMG) who test positive for the antiacetylcholine receptor (AChR) antibody... Full text at...
  3. ME/CFS Science Blog

    Nationwide epidemiological characteristics of chronic fatigue syndrome in South Korea, Lim et al. 2021

    I think this is more evidence that ICD-10 type of insurance data is useless at capturing ME/CFS. In 2019, there was this US study that looked at Insurance data registration using ICD-10 codes. @Simon M pointed out that the age structure for those diagnosed with code G93.3 Postviral fatigue...
  4. ME/CFS Science Blog

    Nationwide epidemiological characteristics of chronic fatigue syndrome in South Korea, Lim et al. 2021

    Abstract Background: Chronic fatigue syndrome (CFS) is a long-term disabling illness accompanied by medically unexplained fatigue. This study aimed to explore the epidemiological characteristics of CFS in South Korea. Methods: Using the nationwide medical records provided by the Korean Health...
  5. ME/CFS Science Blog

    Chronic Fatigue Syndrome and Occupational Status: A Retrospective Longitudinal Study, 2021, Chalder et al

    I think the main data can be summarized as follows: This results in a chi-square value of 0.53 and a p-value = 0.465. The difference was not statistically significant, despite an adequate sample size. So, 16 therapy sessions of CBT at Kings College doesn’t make much difference for your chance...
  6. ME/CFS Science Blog

    Chronic Fatigue Syndrome and Occupational Status: A Retrospective Longitudinal Study, 2021, Chalder et al

    Based on table 2, I think the 9% refers to the subgroup of 316 that provided data at baseline and follow-up. Because the numbers below add up to 316.
  7. ME/CFS Science Blog

    EU Petition 2019 - opportunity to lobby for funding for ME research

    @Wyva There was also an MEP from Hungary, Ádám Kósa, who seemed supportive of the cause. Perhaps this may be a useful opening for you for advocacy at the national level.
  8. ME/CFS Science Blog

    EU Petition 2019 - opportunity to lobby for funding for ME research

    Thanks @MSEsperanza We've made a detailed summary of the meeting here: https://europeanmecoalition.com/summary-of-the-peti-meeting-on-the-me-cfs-petition/
  9. ME/CFS Science Blog

    The Evolution of Fibromyalgia, Its Concepts, and Criteria, 2021, Wolfe & Rasker

    Thought about posting the following comment: Wolfe & Rasker quote Fink in the following way: “very active patient groups that aggressively spread misinformation on the social media. … [Can have] have some impact on research. The Institute of Medicine in the US report on CFS/ME avoids...
  10. ME/CFS Science Blog

    The Evolution of Fibromyalgia, Its Concepts, and Criteria, 2021, Wolfe & Rasker

    The article states: Highlighting that the distinction can be contentious, as an example, Fink et al. point out that, “… very active patient groups that aggressively spread misinformation on the social media. … [Can have] have some impact on research. The Institute of Medicine in the US report...
  11. ME/CFS Science Blog

    Analyzing ordinal data with metric models: What could possibly go wrong?, Liddell et al. 2018

    I have actually never seen a paper on ME/CFS that used the ordinal model for count data wile Likert-type scales are used all the time.
  12. ME/CFS Science Blog

    Analyzing ordinal data with metric models: What could possibly go wrong?, Liddell et al. 2018

    Counterpoint to the counterpoint: https://t.co/hd5FaOz4Uh?amp=1 Got it from this Twitter discussion on the topic starting here:
  13. ME/CFS Science Blog

    Analyzing ordinal data with metric models: What could possibly go wrong?, Liddell et al. 2018

    Counterpoint here: https://www.researchgate.net/publication/41420484_LIkert_scales_levels_of_measurement_adn_the_laws_of_statistics In short: some argue that original models are better than the metric ones normally used but that in many situations there won't be large differences.
  14. ME/CFS Science Blog

    Analyzing ordinal data with metric models: What could possibly go wrong?, Liddell et al. 2018

    It would be interesting if we could reanalyze the data with an appropriate ordinal regression model and see if the results differ. With the Chalder Fatigue Scale there is the additional difficulty that it combines multiple of these Likert scales. I think that to model these in an appropriate...
  15. ME/CFS Science Blog

    Analyzing ordinal data with metric models: What could possibly go wrong?, Liddell et al. 2018

    @Lucibee as previously highlighted this issue in regard to the Chalder Fatigue Scale but I think it applies to many other scales of this format as well.
  16. ME/CFS Science Blog

    Analyzing ordinal data with metric models: What could possibly go wrong?, Liddell et al. 2018

    A bit of background: This is mostly about statistics but it may be relevant to many ME/CFS studies. In many psychological studies, including many studies on ME/CFS researchers use a Likert-type questionnaire. A Likert item typically refers to a question for which the response is indicated on a...
  17. ME/CFS Science Blog

    Analyzing ordinal data with metric models: What could possibly go wrong?, Liddell et al. 2018

    Abstract We surveyed all articles in the Journal of Personality and Social Psychology (JPSP), Psychological Science (PS), and the Journal of Experimental Psychology: General (JEP:G) that mentioned the term “Likert,” and found that 100% of the articles that analyzed ordinal data did so using a...
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