Steven Stovitz

[Steven Stovitz @StevenStovitz]

@wucontra Dr Stovitz appreciates it but is also disappointed with the lack of updates over the past hour. Disappointing Dr Stovitz is like calling a cheap foul on Noah. You don’t want to do it.

[John Mandrola, MD @drjohnm]

#TWICPodcast update

You may have seen one of >3000k journal articles describing #obesity paradox: high BMI is protective in, say, AF or Heart failure

That is so weird, b/c exactly zero docs tell normal-weight pts with AF or HF to eat Cheetos or donuts

How can this be?
🧵

[BMJ Evidence-Based Medicine @BMJ_EBM]

EBM learning
Does my patient have SARS-CoV-2 infection? A reminder of clinical probability formulas
https://t.co/LZiX5r6dBr
#Coronavirus #Covid19

[Steven Stovitz @StevenStovitz]

@BaneShalmali @RheumEpi @javiral19 Thank you for noting the article titled, “Depletion of the Susceptibles” - Steve (Steven Stovitz, University of Minnesota)

[U.S. GRADE Network @USGRADEnet]

"Causal inference aims to determine when we can infer that associations are or are not due to causal effects." Causal inference for clinicians https://t.co/T4BPAwxwgf #ebm @BMJ_EBM @bmj_latest

[BMJ Evidence-Based Medicine @BMJ_EBM]

Causal inference for clinicians https://t.co/T1WejwJ3mM

[AJPH @AMJPublicHealth]

Does reluctance to use the word “causal” lead to scientists misrepresenting the goals & findings of their research? A new commentary calls for greater clarity of purpose & language in scientific studies https://t.co/2yqRL9ED1H

[Andrew Althouse @ADAlthousePhD]

This should be required reading for anyone trying to do research derived from retrospective EMR data. The possible biases HAVE to be considered & understood. https://t.co/TiVcgXRplq

[John Mandrola, MD @drjohnm]

This may be the most important “study” of 2018. Seriously.
If you believe in the obesity paradox (or other paradoxes), read this…again and again>
https://t.co/BrU7WNzKDD
#SelectionBias
h/t @statsepi
cc @PrashSanders
#HealthJournalism
@VinayPrasad82

[Maria Glymour @MariaGlymour]

Thanks to Hailey Banack for a great workshop on quantitative bias analysis @UCSF_Epibiostat yesterday. Critical not just to recognize limitations but assess plausible magnitude. Check out Hailey & @ER_Mayeda's workshop at 2018 @societyforepi conference: https://t.co/BuYeEHuE5b

[Sean C. Lucan, MD @SeanLucan]

Healthy #weight was associated with 4–13 times higher relative risk of #diabetes compared with being #obese!

While apparently shocking, the study’s fatal flaw (selection bias) explains the ‘paradoxical’ finding.https://t.co/VyeL72J1K5

#obesity #epidemiology #Science #important

[Miguel Hernán @_MiguelHernan]

New finding: "Pediatric obesity is clearly associated with a lower diabetes risk." https://t.co/ntCprvcB4d

Yet another paradoxical association explained by #selectionbias due to selection on a #collider (diabetes test).

Highly recommended paper by Stovitz, Banack, and Kaufman.

[Steven Stovitz @StevenStovitz]

@SWSoccerVarsity This is a test tweet from the interim, and I mean very interim game tweeter.

[Steven Stovitz @StevenStovitz]

@StevenStovitz