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90% of data science is data cleaning.

90% of data cleaning is data understanding.

90% of data understanding is figuring out the denominator.

Lecture by Harvard's Justin Feldman 🧠(scholar.harvard.edu/jfeldman)

How to Hide a Plague: How Elite Capture and Individualism Made Covid Normal

youtube.com/watch?v=OlFQ26SpGM

"This lecture will argue that the failures of the US pandemic response were mainly driven by economic elites who used their influence to undermine public health protections."

#Introduction #Nephrologist interested in all things Haemodilaysis especially vascular access and home HD. Also CKD epidemiology. Member and Past Steering Committee CKD Prognosis Consortium. Wannabe #Biostatistician. #Kiwi in Australia.

@hswapnil @LaurieTomlinson @jordy_bc

Yes and thank you for all those refs - will incorporate!

Thinking for need a rethink!

@cmclase @LaurieTomlinson on RASi - what I find fascinating is data from the COVID RAS studies, eg BRACE CORONA, REPLACE COVID @jordy_bc - and soon CLARITY
None of them show benefit of course, but it’s 🤯that continuing RASi in hospitalized COVID, or even starting RASi (CLARITY) didn’t cause harm.
We should really rethink sick day rules!

More on

And this one by @LaurieTomlinson herself
shows higher incidence rate ratio for gastroenteritis (IRR 43, compared with baseline) compared with LRTI and UTI s as risk of in new users of anti-hypertensives

No evidence of a difference in risk vs other agents for gastroenteritis or LRTI (interaction p >=0.78) weak evidence for UTI (interaction p=0.02; not robust in sensitivity analysis)

ncbi.nlm.nih.gov/pmc/articles/

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OOPS! I joined the wrong #mastodon server! A guide to changing instances:

1. create a NEW account at the instance you want to join.
e.g. use this link to create a #MedMastodon account
med-mastodon.com/invite/4aoetr

2. login to your OLD account
3. click "preferences" on the right menu
4. click "account"
5. scroll until you see "moving to a different account" & click "configure it here"
5. fill in your NEW account handle & PW
6. click "Move followers" button

Congrats you've moved to your NEW account!

RT @MTaylorNDP@twitter.com

Today I sent a letter to Minister Jones asking her to help McMaster Children’s Hospital. McMaster is facing a crisis with the recent spike in viral illness, and their occupancy is at 140%. Our community needs support from this gov’t, and we need it now. Our children can’t wait.

🐦🔗: twitter.com/MTaylorNDP/status/

#Introduction: I’m a #nephrologist from Sydney, Australia and a Research Fellow at The George Institute for Global Health. I am a trialist having been involved in the reporting of CANVAS & CREDENCE & serve as Secretariat of the SGLT2 Trialists Consortium. Methodological interest:
evaluating surrogate endpoints for CKD progression for trials through CKD-EPI Consortium. Clinical interests: Hypertension, glomerular diseases, heart failure prevention

We have a problem with lack of #ventilation on school transportation. There is unlikely to be a better way to mix and spread infection across a region. Example instructions on window opening for different vehicle types is available here: stswr.ca/policies/safety/windo #CovidCO2

Does it need to be stated that infection with a pathogenic virus does not confer a net benefit to the host? Because sometimes it feels like there is a need to say this.

A billionaire emits a million times more greenhouse gases than the average person, according to Oxfam.

We know which ones we need to hold accountable for the climate crisis.

policy-practice.oxfam.org/reso

I am particularly vexed by the continued usage of #ImmunityDebt. It is not an established concept, and has never been used prior to the pandemic. And it mixes and matches a) population immunity, which is trivially true, b) individual severity effects, which are not, c) has echoes of the still controversial 'hygiene hypothesis', and d) uses a loaded colloquialism - 'debt' - to whom, and why? Would much prefer we stuck to precise terminology.

To supplement my last toot of 800,000 years of CO2 data, here's a graph of the past 2000 years for CO2, methane, and nitrous oxide (all greenhouse gases, measured in parts per million) again showing the effect of human activities driving up the concentrations. These are the gases driving #climate change.

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