Looking forward to this; the next in our series on methods for mental health services research! Join us for free!
03.03.2026 02:38
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Looking forward to this; the next in our series on methods for mental health services research! Join us for free!
Nope...although someone I know spotted some on Wisconsin Ave., all near the McDonald's there...
Loved this episode of reflection, especially @publichealthpod.bsky.social as a podcast asking and answering questions, with experts from a range of fields who are consider multiple angles and dig into the evidence. Conversations and sources of information like this are more important than ever.
Honestly I don’t have strong feelings one way or the other. Mostly focused on helping it be successful and do good work with solid connection to stats/biostats and what we have to offer.
Great opportunity to join us at JHU!
This was our motivation for writing this! To help applied researchers learn more about what the assumptions actually mean. Which may mean cautioning users rather than inspiring them to use it.
This is actually why we wrote this paper! To translate the assumptions to think about their plausibility, which imho is often limited.
A great opportunity for folks interested in data science + AI; lots going on at Hopkins in this area! Spread the word and apply!
One more tip and plug -- I love Skida hats -- functional and whimsical. skida.com/collections/...
Sharing for awareness of my education research crowd friends -- spread the word and apply!
Yep this was exactly what I was going to say -- my cross country ski gear doubles well as winter running gear, especially Swix and Craft.
My attempts to help summarize why it's so hard to study things like whether there's a causal link between acetaminophen + autism.
Thank you! It's such an honor, and a wonderful prompt to reflect on how thankful I am to have found this career!
This is SO wonderful and well deserved; congratulations!!
Does taking Tylenol during pregnancy cause autism in children?
@bklee.bsky.social and @lizstuart.bsky.social break down the science of causality on Public Health On Call 🎧 podcast.publichealth.jhu.edu/953-interpre...
Starting in a couple of hours; join us!
So fun to come across this!
It has been an honor and joy to work with Grace on topics that include proximal causal inference, electronic health records, and measurement error. She is a careful and excellent researcher, and an amazing team member!
This was an incredible story to hear on my run this morning and has stayed with me. Meaningful, interesting, and inspiring.
Yes, fantastic messages -- I'm glad you wrote all of this down!
I'm looking forward to the conversations and learning at #JSM2025!
I appreciate the push for research at the end of the story about AI + education. But it doesn't clarify who will pay or do that needed research -- with the gutting of the federal education research agency (IES) it's not clear there will be unbiased groups to do it.
www.nytimes.com/2025/07/09/b...
I am grateful for this coverage. Fiona is a friend and sadly just one example of many devoted public servants (who I know personally to be deeply committed, smart, and caring) whose expertise we are currently losing from the government.
I was SO sad that my own session conflicted with this one!
@noahgreifer.bsky.social was my post-doc and I cannot recommend him more highly if you need a super smart statistical consultant / programmer. He is the force behind MatchIt, cobalt, and other packages, and is also just a fantastic team member.
Excited for what will be a flash trip to New England in mid-June for the AI + precision medicine conference in Portland, ME, followed by the Society for Epi Research in Boston! Join me at both!
My daughter was taking the same exam today! I kind of love the coordinated timing all around the country and the idea of a bunch of kids all sitting down for the tests in a coordinated timing kind of way.
Great way to learn the basics of policy trial emulation and the importance of careful study design for health policy!
“Scale is not a substitute for scrutiny” may be my new favorite quote. Thanks @adamjkucharski.bsky.social!
This is so important. And especially in non experimental studies where bias - not variance - is the first order concern.
Great way to learn the basics of policy trial emulation for free! Paper here: pubmed.ncbi.nlm.nih.gov/39374529/
