Save the date! ๐ Our third annual AI Day for Cancer Research is Oct. 24.
A variety of experts will present on topics related to #AI in cancer research, with a focus on imaging.
Learn more & register ๐ https://t.co/oLRYl87TYf
The article 'AI, Statistics, and Statistician' by Penny Reynolds in this month's Amstat News evokes pride in me as a statistician and data scientist. It highlights the pivotal role of past and future statisticians as pioneers in our data-driven world. https://t.co/ozdr6V794c
I am glad that leaders in academics have started to talk about this, although we havenโt yet known what would be a practically feasible holistic evaluation.
https://t.co/rrBRPrEyLI
@StatGirlLAM@AmstatNews Recently, I supported a statistical faculty member's promotion and was asked about ethics. While it's hard for me to know personally, I highlighted their 20+ years of active membership in ASA, following their COC. Their long-standing commitment speaks to their character.
@PaddockSusan Congratulations! Excited for our collaboration at ASA. As 2025 Pres., I'm committed to embracing diversity & promoting learning and kindness. Let's strengthen the future of ASA & the statistics and data science field together!
Deeply honored to be elected 120th President of the ASA. Together, let's strive to use rigorous statistics for good, making society better, more informed, & inclusive. Excited for the journey & grateful for your trust and support. #ASA#statistics#collaboration
@statsepi I take responsibility for this question, as I am aware of the common practice :-<. Despite having witnessed this countless times, I have been unable to rectify these practices๐ฐ Thank you for bringing this essential issue up.
What are your ideas for t-shirt slogans for statisticians or data scientists? Share your thoughts and they might end up on in a top ten list on @AmstatNews or even on a #jsm2024 t-shirt!
In a new study published in @NTR_Journal, @UF researchers found racial and ethnic differences in how people begin using menthol-flavored tobacco products and subsequently use tobacco products.
Read more ๐ https://t.co/5KxA25E7OZ
@ramzi_salloum @JiHyunL43459819 @UFPHHP
Due to poor methods/reporting #machinelearning studies are often at high risk of bias, casting serious doubt on their usefulness and potential harm if used.
- https://t.co/JG1qIUiEG2
- https://t.co/q6zoSkjNnt
#machinelearning studies are often poorly designed and poorly conducted (e.g., small sample size, poor handling of missing data, weak/meaningless validation)
- https://t.co/Z0LEe6EQ75
- https://t.co/M8AOYsq1kz
Blog article about misunderstandings of the purpose and generalizeability of RCTs and what estimands are most relevant to RCTs has been extensively revised: https://t.co/I9ByHDd1sb @vandy_biostat @EdgeforScholars #ClinicalTrials