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#table2fallacy — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #table2fallacy, aggregated by home.social.

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  1. Jan R. Boehnke @[email protected] ·

    Just my usual #NightshiftEditor reminder that when you are currently working on the (secondary) analysis of a data set and thinking of applying some regression modelling, here are some good resources:

    #STROBE for reporting
    journals.plos.org/plosmedicine

    Thinking about confounders
    ncbi.nlm.nih.gov/pmc/articles/

    Prediction vs causation
    academic.oup.com/ije/article/4

    And avoiding the #Table2Fallacy
    ncbi.nlm.nih.gov/pmc/articles/

    #HRQL

    #nightshifteditor #strobe #table2fallacy #hrql
  2. Jan R. Boehnke @[email protected] ·

    Reflections on this week's #NightshiftEditor sessions:

    1) Suggestions to limit potential misunderstandings when presenting multiple effect estimates
    academic.oup.com/aje/article/1
    #Table2Fallacy

    2) From the instant classic "on the 12th day of Christmas, a statistician sent to me":
    (i) "Do not dichotomise continuous variables"
    (ii) "Carefully account for missing data" #STROBE
    bmj.com/content/379/bmj-2022-0

    3) We all can work on asking better research questions
    rdcu.be/diEEb

    #HRQL #ScienceEditing

    #nightshifteditor #table2fallacy #strobe #hrql #scienceediting
  3. Peter Tennant, PhD @[email protected] ·

    Regardless of COVID, it seems that causal inference methods are finally entering the mainsteam.

    Use of #DAGs & awareness of #ColliderBias and the #Table2Fallacy are skyrocketting! Even a general medical journal (JAMA) has now produced primers on these issues

    But we are still desparately short of advice and guidance on how best to use causal inference methods for applied research; we need more funding for meta-science and methods translation!

    #EpiVerse

    jamanetwork.com/journals/jama/

    #epiverse #table2fallacy #colliderbias #dags