Kenneth Taylor

DPT, PhD | Epidemiologist (#EpiTwitter) & Applied Biostatistician | Board-Certified in #OrthoPT | #CausalInference

[JAMA Network Open @JAMANetworkOpen]

Cross-sectional study finds disparities in guideline-concordant care after hip fracture surgery, with racial & ethnic minority patients less likely to receive optimal treatment, even in institutions with standardized hip fracture protocols. https://t.co/V0bDcpqYL6 #OrthoTwitter

[Mikhail Bethell, MD, MS @mikhail_bethell]

We found that the probability of receiving guideline-concordant care at an institution with a standardized hip fracture program increased more for non-Hispanic White patients than racial and ethnic minority patients! #orthotwitter #healthequity

Link: https://t.co/6wETLe1DIe

[The Journal of Pain @TheJournal_Pain]

Original: @KenTaylorDPT and colleagues (@DCRINews) highlight that pain prevalence among veterans increased over time (2002-2018), with higher rate of increase compared to non-veterans for all pain variables - a widening disproportionate pain burden

Full: https://t.co/vivGTZifSs

[Dan Rhon @danrhon]

Veterans experienced similar/higher prevalence of pain than nonveterans (2002-2018). Pain prevalence among veterans increased over time, with higher rate of increase compared to nonveterans for all pain variables - a widening disproportionate pain burden. https://t.co/PRg60vkNKf

[Harrison Hansford @HJHansford]

👀Development of the TARGET reporting guideline👀
We've assembled an all-star team to develop a #reportingguideline for observational studies explicitly aiming to emulate a target trial. Reporting of these studies is variable #epitwitter #causalinference
https://t.co/IfMYJ6XRHY

[Flavia P Kapos, DDS MS PhD @KaposFP]

For those of us clinician-scientists who excel in delayed gratification, you know how amazing it is to reach a big milestone! Deeply grateful to mentors & collaborators who opened countless doors. Excited to take on bigger challenges with this team. Onwards towards #PainEquity!

[Kenneth Taylor @KenTaylorDPT]

@TiffanyDPT Huge achievement! Congratulations!

[Kenneth Taylor @KenTaylorDPT]

Had a great time working on this paper with @ChristiUlmer and our other coauthors!

Interested in the open access version of the paper? Find it here: https://t.co/9lHZU7D0PL

[VA Research @VAResearch]

#VAResearchNewsBrief: A study by @vadurham researchers found that trauma-associated sleep disorder is common in Veterans. Trauma-associated sleep disorder refers to nightmares and disturbed sleep linked to traumatic experiences.
#VAResearch
https://t.co/UbPc7EHYAg

[Kenneth Taylor @KenTaylorDPT]

@epi_amanda An example of steps to take can be found for both approaches can be found here: https://t.co/e0S63al3o5

[Kenneth Taylor @KenTaylorDPT]

@epi_amanda There are two ways - you can access the configuration file and change it (which makes the change permanent). To use SAS without a hard drive, you'd have to go back and change it later.

Second option is to open SAS using the Run app or command prompt to change it temporarily.

[Kenneth Taylor @KenTaylorDPT]

@epi_amanda Ooooo... Correction. It was taking almost 2 hours and this got it to 12 seconds!

https://t.co/845aqQqOwn

[Kenneth Taylor @KenTaylorDPT]

Just edited my SAS code and something that took nearly 2 hours to run earlier tonight ran in 12 seconds...

At least I got a 2 hour break!

[Kenneth Taylor @KenTaylorDPT]

@epi_amanda How large is the dataset?

I ran into a similar issue during my dissertation. In my case, the run time issue I had went from 55ish minutes to <2 minutes by creating a new dataset that was limited to the variables needed for the analysis.

[Kenneth Taylor @KenTaylorDPT]

@epi_amanda To get around hard drive space issues, I configured the SAS work library to be a folder in an 2TB external hard drive.

The work lib files disappear when you close SAS, but if you've got a ton of data and lots of subsets in your work lib, you run out of hard drive space quickly

[Kenneth Taylor @KenTaylorDPT]

@RyerSuzanne You're too kind! Thanks so much for coming and listening in!

[Kenneth Taylor @KenTaylorDPT]

@scotmorrsn @APTAcsm Thanks, Scot! Great chatting with you for a few minutes afterward. Appreciate you coming to listen!

[Kenneth Taylor @KenTaylorDPT]

@chrisjoycept @AdamGoode58 @SeanRundell @chrisjoycept Appreciate you coming to listen to us and the kind words - thank you!

[Kenneth Taylor @KenTaylorDPT]

@epi_amanda @Benavidez_Gabe %TABLEN has a learning curve with all the extra optional statements, but the documentation is very helpful. It has saved me hours of my life by streamlining table output and formatting. Especially when I have to re-run any tables after I've made a version 1

[Kenneth Taylor @KenTaylorDPT]

@epi_amanda @Benavidez_Gabe There is also the %TABLE1 macro, but %TABLEN is better for tables beyond the traditional Table 1 and is more flexible in my experience.

[Kenneth Taylor @KenTaylorDPT]

@SeanRundell For sure! Might be able to address that with Editors through journal-led training on target trial emulation? Probably a harder task to change the reviewer feedback that contributes to this problem.

[Kenneth Taylor @KenTaylorDPT]

"Our study suggests that researchers are evasive with causal terminology in their stated aims, but often use methods that signal causal intent. Authors then tend to interpret their results in a causal way."

[Jeff Hébert @jhebertphd]

Important new paper in JCE from @CGleadhill @stevekamper1 @hopinlee @cmwillow et al.

We need to do better….

“Researchers’ interpretations are misaligned with their intent in almost two thirds of observational studies.”

https://t.co/CXhXbXr0aO