You're a jerk for making me learn new things all the time. I appreciate it.
You're a jerk for making me learn new things all the time. I appreciate it.
Fascinating. The concept of the treatment as a function could have broad implications. I wonder how, in practice, the estimates would differ from the "same" process otherwise conceptualized with (penalized) splines.
Hey @apnews.com, I can fix the headline for you:
"US Carries Out Another Extra-Judicial Execution Killing 6 Unknown People, Trump Says"
It was bad enough when politicians were proposing bleach to treat COVID-19. But to actually change the label on acetaminophen?!? βKennedy said that the F.D.A. would issue a note to doctors about the risk of acetaminophen during pregnancy and begin the process to make a safety change on the label.β
References for the above, since these papers are not well known, but should be:
King et al (2017): doi.org/10.1111/ajps...
Huling & Mak (2024): doi.org/10.1515/jci-...
Cho et al (2013): doi.org/10.1111/stan...
My pain point, the RStan viewer doesn't work π₯π₯π₯
It's a legitimate way to measure metabolism. It has higher error than actual direct or indirect calorimetry, but it's "fine" at scale.
Haven't read the rest of paper yet...
ChatGPT is far better at being my personal mixologist than writing R stats code. #statsky #episky
Still debating if this is worth a full blog post with reproducible code. Let me know if you'd read it and find it useful...
"Central Limit Theorem tells us that we only need to use Gaussian Models!"
Um, Maybe? I guess if you have infinite data and/or don't care about inference at all.
Those of us that want to efficiently detect differences with constrained data need to though... #statsky
I have a 6 and 8 year old. English irritates them to no end because of things like this.
I think you mean compromize.
I had someone ask recently if I did a sensitivity analysis recently and literally had to ask "sensitive to what?" If you want a sensitivity analysis to every analytical decision I make, you're in for a long presentation!
Science is NOT self-correcting.
The arc of the moral universe does NOT bend toward justice.
The second Law of Thermodynamics states that an isolated system will only either increase randomness or stay the same, not become more orderly.
It requires us to put in energy to see defined change.
#statsky #episky
Please post when there is a preprint or something citable! I have a paper currently under review where it may be helpful.
I love me a tensor spline interaction.
Proud to be an American...?
This is quite correct in the most important sense. I'll tell you a story: over ten years ago, I built an automatic p-hacker (in Matlab, I'm old).
It took some data, changed more or less every analysis parameter possible, used every outlier management schema, etc. and then subgroups.
It could...
Should transgender athletes compete with cisgender athletes in sport? I don't know.
There are more Opinions, Position Stands, & Reviews than Original Research. The Original Research out there, is HIGHLY confounded, full of garbage, and invalid statistical analyses.
This was discussed elsewhere, I think it's a philosophical difference.
I'd argue the other way around, how would you know what outcome is meaningful if you don't understand the system? You don't design a drug without a planned cellular target.
Haha, I've heard the purpose of data science is to confirm choices the C-suite have already made...
It's just hard to toe the line between using words normal people understand and being totally wrong in describing what's going on.
π It's the C-suite, the last step is always implied.
But yeah, I think my boss just wants something for a PPT saying "look! The magic has a process you understand!" because the actual analysis plan requires a PhD in statistics and lots post doc learning to get.
They requested a figure. I think part of the idea is just to show that we have a process, it takes many steps to do well.
It's accompanied by a 10 page statistical analysis plan they won't likely read or understand if they did.
FEEDBACK REQUESTED! I've been tasked with developing a general flow chart for C-suite stakeholders on the process for planned observational causal inference work. I want the figure to be as correct as possible, fit on a Powerpoint slide, and be written for a layperson.
Thoughts #statsky #episky?
Basically true for every field. Unfortunately, some fields are worse about this than others.
To the paper itself, I tend to agree with your points. Also that while they put in a TON of work, it is still a small sample and we don't know how representative it was.
Side note that means nothing: I was asked to review the paper and declined due to lack of time.
I have many feelings about the actual work, but my largest thought it that whatever hot air Ross puts on a podcast is not worth my time. Dude is all bravado and not substance.