
Scientist, Physician, Epi/Biostat, Causal Inference, Epistemology. #epitwitter @tfeend.bsky.social
Research Triangle, NC
Joined April 2009
- Tweets7.8K
- Following675
- Followers560
- Likes9.4K
Pinned Tweet
My journey through life seems so trivial compared to the million+ year journey of a photon leaving the center of the sun.
its true, CPR is hard hard work. Its both physically and emotionally exhasuting and sometimes you have to do it for 20-30 minutes and then go back to taking care of patients like you didnt just watch someone die and family lose a member.
Tim Feeney retweeted
✨NEW ✨ BMJ Research Methods & Reporting article on reading and conducting instrumental variable studies. Thanks to Eleanor Sanderson, @MGLevin, @damrauer, @Tfeend, and @nm_davies.
doi.org/10.1136/bmj-2023-078…
propaganda machine out in full force
During Chancellor Lee H. Roberts' installation, leaders from across campus and the state offered words of support to the University's 13th chancellor.
Discover the remarks from Carolina leaders and #UNC alumnus @NC_Governor Roy Cooper unc.live/3Nkz6kD
Tim Feeney retweeted
Fun fact: Instead of saying "factorial" you can scream the answer and it means the same thing.
Example:
26! = "26 factorial" = "TWENTY SIX"
Terry pratchett would be proud
Enjoying the fruits of my labor now that I finished my 12-legged 'Carpentopod' table project. See
decarpentier.nl/carpentopod for project info, or see it live at @EHVMMF this 13 & 14 Sept.
Tim Feeney retweeted
Progress on the Chatbot Assessment Reporting Tool - #CHART!
Panel Consensus 2/3 co-chaired with @GordonGuyatt
Pictured: our global, multi-d expert panel - apologies to those missed #MedTwitter #AI
@juliomayol @Tfeend @eloder @AFlanagin @riazagha @sa_antoniou @GSCollins @nliulab
stats and causal inference is broken? that is news to me. all you need is 3 hours and all will be clear!
Stats is broken. Causal inference is broken. Together they are less broken. I will teach a 3h online course in September, aimed at ppl who have tried to understand connections btw causal inference & statistical inference but were discouraged by notation & puffery. @StatHorizons
Tim Feeney retweeted
Great to hear about causal inference methods to estimate per-protocol effects in randomised trials from @Tfeend
Traditional methods used in trials cause bias but methods of observational research can permit causal interpretations
#SER2024 @societyforepi
Should be excellent!
You’re unable to view this Post because this account owner limits who can view their Posts. Learn more
I wish people complaining about JAMA not allowing causal language would instead complain about the lack of QBA and earnest sensitivity analyses. The allowed language really isn't the point.
NEW PAPER
It's not all about residual confounding.
Hopefully this paper gives a little pushback to discussion sections that only mention uncontrolled residual confounding as a potential limitation of the study and some suggestions to improve analyses
academic.oup.com/aje/advance…
where can i get one of these awesome machines?



























