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  1. Murph

    Metabolomic Evidence for Peroxisomal Dysfunction in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, 2022, Levine,Hornig,Lipkin et al

    Peroxisomes help make plasmalogens. A plasmalogen shortage is one of the findings by Lipkin. Also one of the theories in this hypothesis paper from Canada...
  2. Murph

    Metabolomic Evidence for Peroxisomal Dysfunction in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, 2022, Levine,Hornig,Lipkin et al

    This paper has been extended by Che, Lipkin and Fiehn here: https://www.s4me.info/threads/bayesian-statistics-improves-biological-interpretability-of-metabolomics-data-from-human-cohorts-2023-brydges-che-lipkin-and-fiehn.27730/#post-496038 They bundle the results of their paper with...
  3. Murph

    Use of EEfRT in the NIH study: Deep phenotyping of PI-ME/CFS, 2024, Walitt et al

    There's history and precedent of booting out the data of people who try to maximise their payout, as shown in the next two screengrabs. This should be evidence EEfRT is a mess. But in terms of a fight over whether HVF's data should have been excluded, it's likely to weigh on Wallitt's side. It...
  4. Murph

    Use of EEfRT in the NIH study: Deep phenotyping of PI-ME/CFS, 2024, Walitt et al

    Here's a chart of hard tasks chosen (% terms) vs expected prize money (2x the mean of the prize awarded for tasks completed). We can see HVF is an outlier in these terms (top left in blue). PWME shown in red. If this test was really well-designed you'd expect the points to form a tighter...
  5. Murph

    Use of EEfRT in the NIH study: Deep phenotyping of PI-ME/CFS, 2024, Walitt et al

    While the exclusion of HVF's data is an outrage (he isn't even an outlier in terms of hard tasks chosen, all players played hard more often when the prize was high so his strategy isn't odd, and losing the easy tasks doesn't affect the primary endpoint) I agree choosing that battle is like...
  6. Murph

    Use of EEfRT in the NIH study: Deep phenotyping of PI-ME/CFS, 2024, Walitt et al

    I did email Treadway, back on the 22nd of February before I'd even dug in much. Hi Michael This new Nature Communications paper from a big NIH working group uses your effort metric and it ends up being a part of their conclusions. https://www.nature.com/articles/s41467-024-45107-3#Abs1 Does...
  7. Murph

    Use of EEfRT in the NIH study: Deep phenotyping of PI-ME/CFS, 2024, Walitt et al

    Above I posted a chart of Healthy volunteer F and their button presses. Below is an equivalent chart for all participants, which shows two important things. 1. Several participants lose easy tasks at various points, possibly deliberately (look for short red bars). Healthy Volunteer B and...
  8. Murph

    Use of EEfRT in the NIH study: Deep phenotyping of PI-ME/CFS, 2024, Walitt et al

    Healthy control F matters a lot. They chucked his data, but what his data shows is that EEfRT is a joke. To understand why I'm going to ask you to Imagine a lottery... 1. ... you will win two prizes drawn from a barrel. This is a pretty great lottery, because you choose the prizes that go in a...
  9. Murph

    Use of EEfRT in the NIH study: Deep phenotyping of PI-ME/CFS, 2024, Walitt et al

    I've been looking at this data for a few days now and thought I'd make an account here to post some of the things I've found. First, each participants choices on a chart. I placed a dot high to show a hard choice (Hard on y-axis), low to show an easy choice (Easy on left axis). The top left...
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