Discover and read the best of Twitter Threads about #JSM2022
Most recents (4)
I am fortunate to have an #NIH #K25 award.
In this 🧵, I will share advice about K25 awards. These opinions are my own, based on my experience, and do not represent the NIH.
Hope this helps anyone preparing a K25!
#careerdev #nihgrants #funding #statstwitter #epitwitter 1/
In this 🧵, I will share advice about K25 awards. These opinions are my own, based on my experience, and do not represent the NIH.
Hope this helps anyone preparing a K25!
#careerdev #nihgrants #funding #statstwitter #epitwitter 1/
Who should apply for a K25 award?
K25s are for quantitative experts seeking training in a new clinical area. These are perfect for (bio)statisticians starting in a faculty role pivoting to a new area that aligns with their institution.
K25s cover 75% FTE for up to 5 years. 2/
K25s are for quantitative experts seeking training in a new clinical area. These are perfect for (bio)statisticians starting in a faculty role pivoting to a new area that aligns with their institution.
K25s cover 75% FTE for up to 5 years. 2/
⭐️Most important advice in this thread⭐️
Include a figure connecting your career goals, proposed training, mentor expertise, and research aims.
The next career step should be submitting an R01 and becoming an independent scientist in the new clinical field. 3/
Include a figure connecting your career goals, proposed training, mentor expertise, and research aims.
The next career step should be submitting an R01 and becoming an independent scientist in the new clinical field. 3/
Starting now! I’ll be live tweeting this @DataSciJedi-sponsored session on Delivering Data Differently at #JSM2022. #JEDIatJSM
Our first speaker is @ajrgodfrey. He speaks from his experiences as a blind person. He emphasizes the importance of independence and dignity for the visually impaired. #JEDIatJSM
“A blind person must be able to collect, analyze, interpret, and manipulate scientific data in order to answer questions and communicate the knowledge gained from their results in a way that can be readily understood by their sighted peers.“ @ajrgodfrey #JEDIatJSM
Just in time for #JSM2022, our new paper has been published in the Journal of Machine Learning Research! jmlr.org/papers/v23/21-… Elena A. Erosheva and I propose the first joint statistical model for rankings and scores (1/n)
Rankings and scores are two common types of preference data, which occur in contexts like voting, polling data, recommender systems, and peer review. Because it’s difficult to combine ordinal rankings and cardinal scores, they’re almost always modeled separately (2/n)
But rankings and scores provide different, and complementary, information! Rankings make direct comparisons but are coarse. Scores are more granular but make only implicit (and often unreliable) comparisons (3/n)
I enjoyed participating in yesterday's #EEID2022 panel on scientific communication - what has worked, what hasn't, and what I've learned. For these types of panels, I have made a conscious decision to be very honest, including the good and the bad experiences. 1/
Yesterday, that included me telling the audience how much I angsted over questions like "Is it safe to do X? Our viewers want to know!" Or pressure to stay up to date on everything, or say yes to all requests. Worry that I'm saying the wrong thing or don't belong. 2/
Admitting vulnerability is a trait I admire in others because it takes bravery and normalizes common challenges. IMO, it's a similar bravery to scientific communication in the first place. Public engagement involves putting yourself out there in a way that can be intimidating. 3/
