Corey Scholes
lastbarbender.bsky.social
Corey Scholes
@lastbarbender.bsky.social
Chief Science Officer EBM Analytics. Biomechanics, Patient Outcomes, Statistics, Digital Health. Not necessarily in that order. Trying to do better science with causal inference in observational data.
If you could switch off your surveillance on my calls with clinicians who refuse to do anything until theyve "seen the data"...that would be great
November 10, 2025 at 8:49 PM
Is it possible to know if the patient is a candidate for surgery at the start of prophylaxis? Or is everyone staryed on prophylaxis regardless of surgical appropriateness and then referred on failure? If its the former, I think that would simplify the model a fair bit
November 9, 2025 at 1:09 AM
Do you have any consistency in the definition of failure of prophylaxis? These may differ ir be applied differently between referrer and surgeon
November 8, 2025 at 9:15 PM
Just trying to get my head around the context here...i assume the drs making the referral are primary care and then a surgeon is reviewing? So is your endpoint the rx to surgery or the surgery itself? Depending on the condition, not sure if elective or otherwise, it may not be 1:1 from rx to sx
November 8, 2025 at 9:14 PM
Horseshoe crab
October 17, 2025 at 7:17 AM
Its the horse crab of universal science assets...i dont know how, bit its surviving an extinction level event..
October 17, 2025 at 7:17 AM
Is this how our elderly citizens feel when youngsters ask them about historical events - they didnt even realise they were witness/participant at the time? Thats how i feel about the statstwitter moments...i remember them, but didnt appreciate their significance until now....classic statstwitter..
October 17, 2025 at 4:06 AM
Old mate went truly all in on in that round

Fraud in army - bold strategy at any time
Fraud as an Other Rank
Crime in early 20th century (what is rehabilitation?)
Combine all of those things and then do it in wartime...
October 14, 2025 at 12:31 PM
I think Moriarity had had some particularly bad experiences with German tanks in the bocage though
October 6, 2025 at 7:56 PM
This is the way
October 3, 2025 at 10:14 PM
First episode our hero (or Xena-esque heroine) comes up against an ortho bro|sis cartel pushing out some dubious "trials" on their new pet surgical techniques that they are introducing in young athletes. There are strong echoes of the Terminal List when one of the athletes joins in the hunt.
October 3, 2025 at 9:25 PM
Kicking in doors on hospital Research Offices and pushing the envelope on kidnapping and false imprisonment to hrec chairs that have allowed dubious methods through the approval process.
October 3, 2025 at 9:25 PM
I think a Reacher + The Accountant remake is needed - a drifter statistician with an outrageous physique moving from one random hospital to the next, breaking up clinical research cartels and applying high levels of violence to restore appropriate rigour to studies in their early phases of set-up.
October 3, 2025 at 9:25 PM
I spend an inordinate amount of time explaining the relationship between inc-exc criteria and the recruitment flowchart - "yes but who are you excluding AFTER you initially included them?"
October 3, 2025 at 8:41 AM
the strictness of forcats upfront saves so much hassle downstream...nothing worse than untangling factors several models down the way
October 1, 2025 at 10:06 AM
I should add some tags so it comes up on feeds

#rstats #statsky #clinicalresearch #whatislove
October 1, 2025 at 5:49 AM
The options I see are - run everything with a subset + impute approach, ignoring the advantages of the reverse approach; use complete case analysis for the flowchart and descriptives (risking a disconnect with the model dataset and results) or there is a way of working with mids for every step?
October 1, 2025 at 5:10 AM
The purpose of imputation is to input into the inferential modeling step (what effect does x variable have on y outcome?) but if the imputation is upstream of the sample selection I need to figure out how to work with a mids object for generating descriptive summaries + the recruitment flow chart
October 1, 2025 at 5:10 AM
For background I am aligning to the RECORD reporting guidelines in a quarto document within Rstudio. This means if I move the imputation step from where it is in the pipeline currently (RECORD 12.2 data cleaning) to upstream (RECORD 6.1 sample selection) - I am going to have some...complications
October 1, 2025 at 5:10 AM
Dammit, you beat me to the reply
September 28, 2025 at 12:01 AM